2026

• Aliakbari Mamaghani, Z., Vorberg, L., Maier, A., Katzmann, A., & Taubmann, O. (2026). An LLM-Based Active Assistant and Smart Manual for CT Imaging Workflows. In Hien Van Nguyen, Akash Awasthi, Vishal M. Patel, Ngan Le, Yuyin Zhou, Sheng Liu, S. Kevin Zhou (Eds.), Lecture Notes in Computer Science (pp. 45-52). Daejeon, KR: Springer Science and Business Media Deutschland GmbH.
• Alikarrar, M., Syben, C., Scheuplein, J., Hümmer, C., Ritschl, L., Kappler, S., & Maier, A. (2026). Parameter-efficient Finetuning of Foundational Models for Text-guided X-ray Image Segmentation. In Bildverarbeitung für die Medizin 2026 (pp. 55-62). Lübeck, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Barnhill, A., Towers, J.R., Sutton, G.J., Shaw, T.J., Doniol-Valcroze, T., Maier, A.,... Bergler, C. (2026). Leveraging Co‐Occurrence to Improve Deep Learning Photo‐Identification in Social Animals. Ecology and Evolution, 16(4). https://doi.org/10.1002/ece3.73552
• Bayer, L., Bhat, S., & Maier, A. (2026). Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset. In BAIOSPHERE. Erlangen, DE: https://arxiv.org/abs/2603.18616.
• Bhandary Panambur, A., Nguyen, T.-T., Bayer, S., & Maier, A. (2026). Breast MRI Evaluation with Weakly-informed Slice-level Explanation. In Proceedings of the Bildverarbeitung für die Medizin 2026 (pp. 10-17). Lübeck, DE.
• Bhandary Panambur, A., Nguyen, T.-T., Bayer, S., & Maier, A. (2026). Lesion-Aware AI for Mammography: Multi-Dataset Pretraining with ROI-Guided Contrastive Learning and Clinical Image Retrieval. Poster presentation at ECR 2026.
• Bhat, S., Bayer, S., Grbic, S., & Maier, A. (2026, May). Robust AI-Based Chest Radiograph Classification Without Prior Task Training via Improved Vision-Language Alignment. Poster presentation at European Congress of Radiology, Vienna, AT.
• Bhat, S., & Maier, A. (2026). Improving Clinical Usability of Deep Learning for Radiographic Diagnosis: Learning under Constraints of Specificity, Data, and Annotation. In 28th International Conference of Medical Image Computing and Computer Assisted Intervention – MICCAI. Daejeon, South Korea: Springer.
• Bhat, S., Mansoor, A., Georgescu, B., B. Panambur, A., Zinnen, M., C. Ghesu, F.,... Maier, A. (2026). Patch-CLIP - Contrastive Health Record-Image Joint Training with Patch Embedding Loss. Scientific Reports, 16. https://doi.org/10.1038/s41598-026-52235-x
• Chatterjee, S., Ghumkar, S., Ahbab, M.M., Ramachandran, A., Tenbrinck, D., Maier, A.,... Bayer, S. (2026). Early Detection of DMA-Level Leaks in Water Networks Using Robust Regression Ensemble Framework. Water, 18(5). https://doi.org/10.3390/w18050563
• Das, B.K., Zhao, G., Mailhe, B., Re, T.J., Comaniciu, D., Gibson, E., & Maier, A. (2026). Multi-plane vision transformer for hemorrhage classification using axial and sagittal MRI data. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-44524-2
• Dreier, M.N., Gourmelon, N., Pyles, D.R., Wu, F., Braun, M., Seehaus, T.,... Christlein, V. (2026). Multi-temporal calving front segmentation. Isprs Journal of Photogrammetry and Remote Sensing, 239, 276-290. https://doi.org/10.1016/j.isprsjprs.2026.05.053
• Felsner, L., Küstner, T., Maier, A., & Qin, C. (2026). RIME 2025 Preface. In Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu (Eds.), Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis. (pp. v-). Springer Science and Business Media Deutschland GmbH.
• Goldmann, F., Wels, M., Allmendinger, T., Goldmann, M., Gutjahr, R., Jürgens, M.,... Maier, A. (2026). Challenging Hounsfield Unit cutoffs: spectral thresholding for synthetic coronary plaque phantoms on photon-counting CT. Journal of Medical Imaging, 13(2). https://doi.org/10.1117/1.JMI.13.2.024003
• Haase, V., Noo, F., Stierstorfer, K., Maier, A., & McNitt-Gray, M. (2026). A novel projection data domain material decomposition method for dual-energy CT and its impact on the accuracy of attenuation values. Physics in Medicine and Biology, 71(4). https://doi.org/10.1088/1361-6560/ae4163
• Hernandez, A., Arias Vergara, T., Maier, A., & Perez Toro, P.A. (2026). Confidence-guided error correction for disordered speech recognition. In Proceedings of the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 18447-18451). Barcelona, Spain: IEEE.
• Islam Bhuiyan, M.R., Bhat, S., Qahqaie, M., Nguyen, T.-T., Perez-Toro, P.A., Arias-Vergara, T., & Maier, A. (2026). LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation. (Unpublished, Submitted).
• Kang, X., Vorberg, L., Maier, A., Katzmann, A., & Taubmann, O. (2026). Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent. In Jianing Qiu, Jinlin Wu, Curtis Langlotz, Baoru Huang, Zhen Lei, Honghan Wu, Hongbin Liu, Weidi Xie (Eds.), Lecture Notes in Computer Science (pp. 46-54). Daejeon, KR: Springer Science and Business Media Deutschland GmbH.
• Khamseh, S., Wolz, F., Scheuplein, J., Ergler, T., & Maier, A. (2026). AI-based Dual-domain Framework for Gridline Suppression in Digital Radiography. In Bildverarbeitung für die Medizin 2026 (pp. 337-344). Lübeck, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Kordowich, G., Oelhaf, J., Bayer, S., Maier, A., Kereit, M., & Jäger, J. (2026). Feature Selection for Fault Prediction in Distribution Systems. Electric Power Systems Research, 261. https://doi.org/10.1016/j.epsr.2026.113498
• Kölbl, N., Rampp, S., Kaltenhäuser, M., Tziridis, K., Maier, A., Kinfe, T.,... Schilling, A. (2026). Prediction, syntax and semantic grounding in the brain and large language models. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-41532-0
• Leipert, M., Kotsch, C., Zabler, S., & Maier, A. (2026). Learning from Small Datasets with Hybrid Swin-Transformer in Industrial CT: A Case Study on Boxed Shoes. In Special Issue of e-Journal of Nondestructive Testing (eJNDT). Linz, AT: NDT.net.
• Leipert, M., Zabler, S., & Maier, A. (2026). CenterMask3D: Are Bounding-Box Based Approaches Suitable for Volumetric Instance Segmentation? In ndt.net (Eds.), Special Issue of e-Journal of Nondestructive Testing. Linz, AT.
• Liu, D., Arias-Vergara, T., Hutter, J., Maier, A., & Perez Toro, P.A. (2026). Audio–Vision Contrastive Learning for Phonological Class Recognition. In Kamil Ekštein, Miloslav Konopík, Ondrej Pražák, František Pártl (Eds.), Lecture Notes in Computer Science (pp. 60-71). Erlangen, DEU: Springer Science and Business Media Deutschland GmbH.
• Mei, S., Thies, M., Xia, Y., Sun, Y., Wu, F., Fan, F.,... Maier, A. (2026). Vision transformer Hook for dense predictions. Pattern Recognition, 179, 1-12. https://doi.org/10.1016/j.patcog.2026.113818
• Mendez, R., Maier, A., & Emmert, J. (2026). Comparison of Input-Data Matrix Representations Used for Continual Learning with Orthogonal Weight Modification on Edge Devices. Sensors, 26(2). https://doi.org/10.3390/s26020425
• Monroy, L.C.R., Mayr, M., Mill, L., Köstler, H., & Maier, A. (2026). Patch-Level Brain Tumor Sub-region Classification Using Foundation Models Under Long-Tailed Data Distributions. In Spyridon Bakas, Emily Dennis, Mehdi Astaraki, Ujjwal Baid, Gian Marco Conte, Martha Foltyn-Dumitru, Zhifan Jiang, Marius George Linguraru, Dominic Labella, Marie-Christin Metz, Udunna Anazodo, Maria Correia de Verdier, Florian Kofler, Hongwei Bran Li, Nazanin Maleki (Eds.), Lecture Notes in Computer Science (pp. 213-222). Daejeon, KOR: Springer Science and Business Media Deutschland GmbH.
• Novkoski, F., Mélard, M., Delens, M., Wéry, F., Noirhomme, M., Pande, J.,... Vandewalle, N. (2026). GRASPion: An open-source, programmable brainbot for active matter research. Review of Scientific Instruments, 97(1). https://doi.org/10.1063/5.0303152
• Oelhaf, J., Kordowich, G., Bergler, C., Maier, A., Jäger, J., & Bayer, S. (2026). PROTECT-90: A Fault Dataset for Power System Protection. (Unpublished, Accepted).
• Perez Toro, P.A., Arias Vergara, T., Bueß, L., Hutter, J., Woo, J., & Maier, A. (2026). Cross‑modal diffusion for region‑aligned vocal tract MRI synthesis.
• Pérez-Toro, P.A., Arias-Vergara, T., Xing, F., Liu, X., Stone, M., Zhuo, J.,... Woo, J. (2026). A speech-to-video synthesis approach using spatio-temporal diffusion for vocal tract MRI. Medical Image Analysis, 111. https://doi.org/10.1016/j.media.2026.104053
• Qahqaie, M., Neumann, D., Heimann, T., Maier, A., & Zimmer, V.A. (2026). Unbalanced optimal transport for robust longitudinal lesion evolution with registration-aware and appearance-guided priors. (Unpublished, Submitted).
• Raghunath, A., Castaneda Gavina, E., Jacob, A., Weiss, M., Voigt, I., Passerini, T.,... Lluch, È. (2026). Scalable Automated Framework for Left Atrial Appendage Segmentation, Clustering, and CFD Analysis. In Oscar Camara, Esther Puyol Antón, Maxime Sermesant, Charlène Mauge, Marta Varela, Yingliang Ma, Rasmus Paulsen, Chengyan Wang, Qian Tao, Alistair Young (Eds.), Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers. STACOM 2025 (pp. 128-138). Daejeon, KR: Cham: Springer.
• Ramachandran, A., Chatterjee, S., Neergaard, T.F.B., Oberndoerfer, M., Maier, A., & Bayer, S. (2026). A deep learning framework for heat demand forecasting using time–frequency representations of decomposed features. Energy and AI. https://doi.org/10.1016/j.egyai.2026.100704
• Rivera Monroy, L.C., Petzold, A., Sari, M., Breininger, K., Maier, A., Vera González, J.,... Heppt, M. (2026). Vision transformer-based diagnosis of psoriasis and eczema in whole-slide histology. Virchows Archiv. https://doi.org/10.1007/s00428-026-04445-x
• Rivera Monroy, L.C., Petzold, A., Sari, M., Breininger, K., Maier, A., Vera González, J.,... Heppt, M. (2026). Vision transformer-based diagnosis of psoriasis and eczema in whole-slide histology. Virchows Archiv. https://doi.org/10.1007/s00428-026-04445-x
• Rohleder, M., Scheuplein, J., Maier, A., & Kreher, B.W. (2026). Metal Artifact Avoidance: Improved CBCT Image Quality through Tilted C-Arm 3D Scans. In Joshua William Giles, Aziliz Guezou-Philippe (Eds.), Proceedings of The 25th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (pp. 143-146). Davos, CH: EasyChair.
• Scheuplein, J., Kreher, B.W., & Maier, A. (2026). Prediction of Patient and Mobile C-arm Orientation in Orthopedic Trauma Procedures. In Bildverarbeitung für die Medizin 2026 (pp. 210-216). Lübeck, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Scheuplein, J., Rohleder, M., Kreher, B.W., & Maier, A. (2026). From Unlabeled Data to Clinical Applications: Foundation Models in Medical Imaging. In Joshua William Giles, Aziliz Guezou-Philippe (Eds.), Proceedings of The 25th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (pp. 152-155). Davos, CH: EasyChair.
• Scheuplein, J., Rohleder, M., Maier, A., & Kreher, B.W. (2026). Abstract: DINO Adapted to X-ray (DAX). In Bildverarbeitung für die Medizin 2026 (pp. 217-217). Lübeck, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Scheuplein, J., Rohleder, M., Maier, A., & Kreher, B.W. (2026). DINO Adapted to X-Ray (DAX): Foundation Models for Intraoperative X-Ray Imaging. In Gee JC, Alexander DC, Hong J, Iglesias JE, Sudre CH, Venkataraman A, Golland P, Kim JH, Park J (Eds.), Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 (pp. 138-148). Daejeon, KR: Cham: Springer Nature Switzerland.
• Sheta, A., Zinnen, M., Sindel, A., Maier, A., & Christlein, V. (2026). Data Augmentation via Latent Diffusion Models for Detecting Smell-Related Objects in Historical Artworks. In Emanuele Rodolà, Fabio Galasso, Iacopo Masi (Eds.), Lecture Notes in Computer Science (pp. 511-523). Rome, ITA: Springer Science and Business Media Deutschland GmbH.
• Sun, Y., Schneider, L.-S., Schwarz, A., Gu, M., Mei, S., Ye, C.,... Maier, A. (2026). LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT. In Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu (Eds.), Lecture Notes in Computer Science (pp. 76-86). Daejeon, KR: Springer Science and Business Media Deutschland GmbH.
• Tasharofi, F., Fan, F., Qahqaie, M., Thies, M., & Maier, A. (2026). FIND-Net – Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction. In James C. Gee, Jaesung Hong, Carole H. Sudre, Polina Golland, Jinah Park, Daniel C. Alexander, Juan Eugenio Iglesias, Archana Venkataraman, Jong Hyo Kim (Eds.), Lecture Notes in Computer Science (pp. 192-201). Daejeon, KOR: Springer Science and Business Media Deutschland GmbH.
• Vorberg, L., Ditt, H., Maier, A., Nicolaou, S., Murray, N., & Taubmann, O. (2026). Comparing deep learning stroke segmentation in NCCT, CTA, and CTP: Accuracy, domain transfer, and temporal sampling effect. Medical Physics, 53(4). https://doi.org/10.1002/mp.70419
• Weber, F., Gorges, T., Raghunath, A., & Maier, A. (2026). Anomaly Detection in Thoracic CT. In Bildverarbeitung für die Medizin 2026 (pp. 111-117). Lübeck, DE: Springer.
• Yadav, B., Raghunath, A., Weber, F., & Maier, A. (2026). Self-supervised Dual-domain Swin Transformer for Sparse-view CT Reconstruction. In Bildverarbeitung für die Medizin 2026 (pp. 19–25). Lubeck, DE: Springer.
• Zaian, A., Bhat, S., Abdalkader, M., & Maier, A. (2026). Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation. (Unpublished, Submitted).
• Öttl, M., Mei, S., Wilm, F., Qiu, J., Steenpaß, J., Rübner, M.,... Breininger, K. (2026). Analyzing and adapting diffusion segmentation behavior for medical images. Biomedical Signal Processing and Control, 112. https://doi.org/10.1016/j.bspc.2025.108619

2025

• Adrian, A., Evert, S., Gritz, M., Stürmer, V., Lindner, J., Blöcher, M.,... Rapp, M. (2025). Maschinelles Schliessen mit s(CASP) - Anmeldung eines neuen Geschäftsführers einer GmbH zum Handelsregister. Jusletter IT, 30 April 2025, 433-442. https://doi.org/10.38023/74311d25-cd34-4fd2-9add-3b19549c3edc
• Barnhill, A., Traub, O., Nöth, E., Maier, A., & Bergler, C. (2025). Same Semantics of the Signal - What Do We Cluster with what Representation. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing. Hyderabad, India, IN.
• Bhandary Panambur, A., Bhat, S., Yu, H., Madhu, P., Bayer, S., & Maier, A. (2025). Attention-guided erasing for enhanced transfer learning in breast abnormality classification. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-024-03317-6
• Bhandary Panambur, A., Wind, S., Bayer, S., & Maier, A. (2025). MammoBLIP: End-to-End Mammography Report Generation with Vision-Language Models and Public Multi-Institutional Datasets. In 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (pp. 1-1). Yokohama, JP: IEEE.
• Bharadwaj, P., Bhat, S., & Maier, A. (2025). Enhancing Zero-Shot Learning in Chest X-ray Diagnostics Using BioBERT for Textual Representation. In Proceedings of the Bildverarbeitung für die Medizin 2025. Regensburg, DE.
• Bhat, S., B. Panambur, A., Mansoor, A., Georgescu, B., Ghesu, F.C., Grbic, S., & Maier, A. (2025). Towards robust zero-shot Chest X-Ray (CXR) classification: Exploring data distribution bias in CXR datasets. In Proceedings of the Bildverarbeitung für die Medizin 2025. Regensburg, DE.
• Bhat, S., Georgescu, B., Bhandary Panambur, A., Zinnen, M., Nguyen, T.-T., Mansoor, A.,... Maier, A. (2025). Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond. In 28th International Conference of Medical Image Computing and Computer Assisted Intervention – MICCAI (pp. 205-215). Daejeon, KR: Springer, Cham.
• Brock, L., Ben-Atya, H., Tiwari, A., Saab, D., Haj, N., Folle, L.,... Vandoorne, K. (2025). Improved MRI detection of inflammation-induced changes in bone marrow microstructure in mice: a machine learning-enhanced T2 distribution analysis. European Radiology Experimental, 9(1). https://doi.org/10.1186/s41747-025-00574-1
• Bueß, L., Keicher, M., Navab, N., Maier, A., & Tayebi Arasteh, S. (2025). From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine. Biomedical Engineering Letters. https://doi.org/10.1007/s13534-025-00497-1
• Conrad, T., Kim, C., Jäger, J., Maier, A., & Bayer, S. (2025). Impact of Training Dataset Size for ML Load Flow Surrogates. In Proceedings of the Oberlausitzer Energiesymposium 2025 & Zittauer Energieseminar. Zittau, DE.
• Das, B., Zhao, G., Liu, H., Re, T.J., Comaniciu, D., Gibson, E., & Maier, A. (2025). Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging. In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). Houston, TX, US: IEEE Computer Society.
• Dreier, M.N., Koch, M., Gourmelon, N., Blindow, N., Steinhage, D., Wu, F.,... Christlein, V. (2025). IceAnatomy: a benchmark dataset and methodology for automatic ice boundary extraction from radio-echo sounding data. Cryosphere, 19(11), 5337-5359. https://doi.org/10.5194/tc-19-5337-2025
• Elbarbary, K., Bhandary Panambur, A., Bhat, S., Bayer, S., & Maier, A. (2025). MM-DETR: Emulating the Diagnostic Clinical Workflow in Multi-view Multi-modal Mammography Mass Detection. In Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care (pp. 258–267). Daejeon, South Korea, KR: Springer, Cham.
• Fassihi Dehkordi, S., Schottenhamml, J., Müller, M., Hosari, S., Lämmer, R., Maier, A.,... Mardin, C. (2025). Bruch's Membrane Opening-Based Peripapillary Optical Coherence Tomography Angiography Analysis. Ophthalmic Research, 68(1), 372-380. https://doi.org/10.1159/000545878
• Förstel, M., Haas, O., Förstel, S., Maier, A., & Rothgang, E. (2025). A Systematic Review of Features Forecasting Patient Arrival Numbers. CIN - Computers, Informatics, Nursing, 43(1). https://doi.org/10.1097/CIN.0000000000001197
• Goldmann, M., Preuhs, A., Manhart, M., Kowarschik, M., & Maier, A. (2025). Learning-based dual-domain rigid motion estimation in interventional C-arm cone-beam CT. (pp. 26).
• Gomaa, A., Huang, Y., Stephan, P., Breininger, K., Frey, B., Dörfler, A.,... Putz, F. (2025). A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-02026-7
• Gorges, T., Scholz, T., Saloman, S., Zinnen, M., Hoffmann, J., Gourmelon, N.,... Christlein, V. (2025). PASAL: Progress- and sparsity-aware loss balancing for heterogeneous dataset fusion. Information Fusion, 120, 103038. https://doi.org/10.1016/j.inffus.2025.103038
• Gourmelon, N., Dreier, M.N., Mayr, M., Seehaus, T., Pyles, D.R., Braun, M.,... Christlein, V. (2025). SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2025.3580945
• Hernandez, A., Arias-Vergara, T., Maier, A., & Perez Toro, P.A. (2025). Enhancing ASR Accuracy for Speakers with Parkinson’s Disease Using Instruction-Tuned LLMs. In Kamil Ekštein, Miloslav Konopík, Ondrej Pražák, František Pártl (Eds.), Lecture Notes in Computer Science (pp. 153-164). Erlangen, DEU: Springer Science and Business Media Deutschland GmbH.
• Hoepp, R., Rist, L., Katzmann, A., Ashok, R., Wimmer, A., Sühling, M., & Maier, A. (2025). A robust sampling technique for realistic distribution simulation in federated learning. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-025-03504-z
• Hou, Y., Bert, C., Gomaa, A., Lahmer, G., Höfler, D., Weissmann, T.,... Putz, F. (2025). Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1493716
• Huang, Y., Maier, A., Fan, F., Kreher, B., Huang, X., Fietkau, R.,... Bert, C. (2025). Learning Perspective Distortion Correction in Cone-Beam X-Ray Transmission Imaging. IEEE Transactions on Radiation and Plasma Medical Sciences. https://doi.org/10.1109/TRPMS.2025.3551501
• Hung, H., Piske, T., Perez Toro, P.A., Arias Vergara, T., & Maier, A. (2025). kidsNARRATE: a versatile corpus for studying Chinese-english bilingual L2 narrative skills in preschoolers. Language Resources and Evaluation, 59, 3117-3138. https://doi.org/10.1007/s10579-025-09851-2
• Hüttner, L., Mayr, M., Gorges, T., Wu, F., Seuret, M., Maier, A., & Christlein, V. (2025). Low-Rank Adaptation vs. Fine-Tuning for Handwritten Text Recognition. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (pp. 1233-1242). Tucson, Arizona, USA, US: IEEE.
• Jamil, M.U., Won, J., Ploner, S., Marmalidou, A., Takahashi, H., Kaiser, S.,... Waheed, N.K. (2025). High-Resolution OCT Reveals Age-Associated Variation in the Region Posterior to the External Limiting Membrane. Translational Vision Science & Technology, 14(1), 16-. https://doi.org/10.1167/tvst.14.1.16
• Kemenes, S., Chang, L., Schlereth, M., Corte, G., Noversa de Sousa, R., Minopoulou, I.,... Fagni, F. (2025). Corrigendum: Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index (Frontiers in Medicine, (2025), 12, (1574413), 10.3389/fmed.2025.1574413). Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1617441
• Kemenes, S., Liu, C., Schlereth, M., Noversa de Sousa, R., Minopoulou, I., Fenzl, P.,... Fagni, F. (2025). Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1574413
• Konrad, S., Klemm, T., Hupfer, M., Stierstorfer, K., Buzug, T.M., & Maier, A. (2025). A validated Monte Carlo model for a CdTe-based photon-counting detector at higher flux rates. Physics in Medicine and Biology, 70(6). https://doi.org/10.1088/1361-6560/adb89d
• Krauß, P., Surendra, K., Stöwer, P., Maier, A., Metzner, C., & Schilling, A. (2025). Word Class and Syntax Rule Representations Spontaneously Emerge in Recurrent Language Models. In Recent Advances in Deep Learning Applications, New Techniques and Practical Examples. CRC Press.
• Kulyabin, M., Zhdanov, A., Lee, I.O., Skuse, D.H., Thompson, D.A., Maier, A., & Constable, P.A. (2025). Synthetic electroretinogram signal generation using a conditional generative adversarial network. Documenta Ophthalmologica. https://doi.org/10.1007/s10633-025-10019-0
• Kunzmann, S., Perez Toro, P.A., & Maier, A. (2025). Synthetic Image Evaluation Towards a Gamified Ranking Tool for Enhancing the Annotation Task.
• Lee, W., Wagner, F., Galdran, A., Shi, Y., Xia, W., Wang, G.,... Choi, J.H. (2025). Low-dose computed tomography perceptual image quality assessment. Medical Image Analysis, 99. https://doi.org/10.1016/j.media.2024.103343
• Liu, C., Fan, F., Schwarz, A., & Maier, A. (2025). Anatomy-aware Data Augmentation for Multi-organ Segmentation in CT: AnatoMix. In Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2025. Proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025 (pp. 136-141). Regensburg, DE: Wiesbaden: Springer Vieweg.
• Liu, D., Fan, F., & Maier, A. (2025). Category-fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images. In Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2025. Proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025 (pp. 311-316). Regensburg, DE: Cham: Springer.
• Liu, S., Huang, H., Zinnen, M., Maier, A., & Christlein, V. (2025). Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces. In Computer Vision – ECCV 2024 Workshops (pp. 161-176). Mailand, IT: Cham: Springer Nature.
• Madhipati, R., Bhat, S., Bueß, L., & Maier, A. (2025). CXR-CML: Improved Zero-Shot Classification of Long-Tailed Multi-label Diseases in Chest X-Rays. In 28th International Conference of Medical Image Computing and Computer Assisted Intervention – MICCAI (pp. 119–129). Daejeon, KR: Springer, Cham.
• Maul, N., Birkhold, A., Thies, M., Vysotskaya, N., Wagner, F., Pfaff, L.,... Maier, A. (2025). Virtual DSA for Learning Contrast Agent Dynamics in Projection Space. In Ruisheng Su, Danny Ruijters, Ezequiel de la Rosa, Leonhard Rist, Ewout Heylen, Frank te Nijenhuis, Theo van Walsum, Markus D. Schirmer, Richard McKinley, Roland Wiest, Susanne Wegener (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 51-60). Marrakesh, MAR: Springer Science and Business Media Deutschland GmbH.
• Mayr, M., Dreier, M.N., Kordon, F., Seuret, M., Zöllner, J., Wu, F.,... Christlein, V. (2025). Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models. International Journal of Computer Vision, 133(10), 7054-7075. https://doi.org/10.1007/s11263-025-02525-0
• Mayr, M., Krenz, J., Neumeier, K., Bub, A., Bürcky, S., Brolich, N.,... Christlein, V. (2025). Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis. Scientific Data, 12.
• Mayr, M., Neumeier, K., Krenz, J., Bürcky, S., Kordon, F., Seuret, M.,... Christlein, V. (2025). Data-efficient handwritten text recognition of diplomatic historical text. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-20545-9
• Mederer, C., Kordowich, G., Oelhaf, J., Maier, A., Bayer, S., & Jäger, J. (2025). Verification of Neural Network Based Power System Protection Schemes. In Proceedings of the 19th IET Conference on Developments in Power System Protection (DPSP Europe 2025) (pp. 155-159). Bilbao, ES: IET.
• Metzner, C., Schilling, A., Maier, A., & Krauß, P. (2025). Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing. Neural Computation, 37(8), 1469-1504. https://doi.org/10.1162/neco_a_01770
• Mill, L., Aust, O., Ackermann, J., Burger, P., Pascual, M., Palumbo-Zerr, K.,... Grüneboom, A. (2025). Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data. Communications Medicine, 5(1). https://doi.org/10.1038/s43856-025-00777-y
• Mosig, D., Marwan, M., Achenbach, S., & Maier, A. (2025). Coronary Artery Classification Using Deep Learning. In Proceedings of the 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (pp. 1-1). Yokohama, JP.
• Münster, N., Rohleder, M., Kreher, B., Maier, A., & Wang, A. (2025). Quantification of Metal Artifacts in Metal Artifact Avoidance. In John M. Sabol, Ke Li, Shiva Abbaszadeh (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, USA: SPIE.
• Nau, M., Nutricati, L.A., Camino, B., Warburton, P.A., & Maier, A. (2025). Quantum annealing feature selection on light-weight medical image datasets. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-14611-x
• Oelhaf, J., Kordowich, G., Kim, C., Perez Toro, P.A., Maier, A., Jäger, J., & Bayer, S. (2025). Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection. In 2025 33rd European Signal Processing Conference (EUSIPCO) (pp. 1997-2001). Palermo, IT: IEEE.
• Oelhaf, J., Kordowich, G., Maier, A., Jäger, J., & Bayer, S. (2025). Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals. In Fault and Disturbance Analysis Conference 2025. Atlanta, GA, US: arXiv.
• Oelhaf, J., Kordowich, G., Pashaei, M., Bergler, C., Maier, A., Jäger, J., & Bayer, S. (2025). A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management. International Journal of Electrical Power & Energy Systems, Volume 172(November 2025). https://doi.org/10.1016/j.ijepes.2025.111257
• Oelhaf, J., Kordowich, G., Perez Toro, P.A., Arias Vergara, T., Maier, A., Jäger, J., & Bayer, S. (2025). A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). Hyderabad, IN: New York City: IEEE.
• Pahlajani, K.M., Ramachandran, A., Maier, A., & Bayer, S. (2025). Link Prediction on Water Distribution Networks using Graph Neural Networks. In Link Prediction on Water Distribution Networks using Graph Neural Networks. Sheffield, GB.
• Parvin, M., Rohleder, M., Maier, A., & Kunze, H. (2025). Automatic Detection of Bronchoscopes on X-ray Images. In Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2025. Proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025 (pp. 248-253). Regensburg, DE: Cham: Springer.
• Perez Toro, P.A., Dineley, J., Iniesta, R., Zhang, Y., Matcham, F., Siddi, S.,... Cummins, N. (2025). Exploring biases related to the use of large language models in a multilingual depression corpus. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-19980-x
• Perez Toro, P.A., Ferrante, F.J., Pérez, G., Tee, B.L., de Leon, J., Nöth, E.,... García, A. (2025). Automated Speech Markers of Alzheimer Dementia: Test of Cross-Linguistic Generalizability. Journal of Medical Internet Research, 27. https://doi.org/10.2196/74200
• Ramachandran, A., Maier, A., & Bayer, S. (2025). Digitization Framework of Water Utility Documents for Digital Twins. In Digitization Framework of Water Utility Documents for Digital Twins. Sheffield, United Kingdom.
• Ramachandran, A., Neergaard, T.F.B., Arias Vergara, T., Maier, A., & Bayer, S. (2025). Water Demand Forecasting of District Metered Areas through Learned Consumer Representations. In Water Demand Forecasting of District Metered Areas through Learned Consumer Representations. Palermo, Italy, IT.
• Ravi, A., Bernhardt, P., Hoffmann, M., Kordon, F., Bayer, S., Achenbach, S., & Maier, A. (2025). Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-99651-z
• Rist, L., Ditt, H., Sühling, M., Honus, V., Schramme, P., Maier, A., & Taubmann, O. (2025). Robust Feature Selection for Classifying Early Ischemic Changes in Posterior Stroke. In Image Analysis in Stroke Diagnosis and Interventions (pp. 61-70). Marrakesh, MA: Cham: Springer.
• Rivera Monroy, L.C., Rist, L., Wilm, F., Ostalecki, C., Baur, A., Vera González, J.,... Maier, A. (2025). Abstract: Multi-level Cancer Profiling through Joint Cell-graph Representations. In Bildverarbeitung für die Medizin 2025 (pp. 156-156). Regensburg, DE: Springer Link.
• Rohleder, M., Maier, A., & Kreher, B. (2025). Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-025-03348-7
• Rohleder, M., Yao, M., Fan, F., Bayer, S., Maier, A., Kreher, B., & Wang, B. (2025). Experimental Evaluation of Metal Artifact Avoidance and Reduction for Anterior Cervical Discectomy and Fusion Surgery. In John M. Sabol, Ke Li, Shiva Abbaszadeh (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, USA: SPIE.
• Schneider, L.-S., Dhingra, A., & Maier, A. (2025). Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric. In 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium (iCT 2025). Antwerp, BE.
• Schneider, L.-S., Peng, J., & Maier, A. (2025). Robot movement planning for obstacle avoidance using reinforcement learning. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-17740-5
• Schneider, L.-S., Waldyra, A., Sun, Y., & Maier, A. (2025). Differentiable Few-view CT-Reconstruction for Arbitrary CT-Trajectories including Prior Knowledge. In 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium (iCT 2025). Antwerp, BE.
• Schwarz, A., Dickmann, J., Hofmann, C., Szkitsak, J., Bert, C., Maier, A., & Arias Vergara, T. (2025). Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals. In Anna Schroder, Xiang Li, Tanveer Syeda-Mahmood, Neil P. Oxtoby, Alexandra Young, Alessa Hering, Tejas S. Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi (Eds.), Lecture Notes in Computer Science (pp. 147-156). Marrakesh, MA: Springer Science and Business Media Deutschland GmbH.
• Schwarz, A., Hofmann, C., Dickmann, J., Simon, A., Maier, A., Wacker, F.K.,... Schmidbauer, M. (2025). Free-Breathing Respiratory Triggered High-Pitch Lung CT: Insights from Phantom and Patient Scans. Investigative Radiology. https://doi.org/10.1097/RLI.0000000000001157
• Schwarz, A., Schmidt, S., Wohlfahrt, P., Dickmann, J., & Maier, A. (2025). Trainable Spatio-Temporal Bilateral Filters: 4D-Filtering for 4DCT Denoising. In John M. Sabol, Ke Li, Shiva Abbaszadeh (Eds.), Medical Imaging 2025: Physics of Medical Imaging (pp. 134054K). San Diego, CA, US: SPIE.
• Schüre, J.-R., Rajput, J.R., Shrestha, M., Deichmann, R., Hattingen, E., Maier, A.,... Zaiß, M. (2025). Toward Noninvasive High-Resolution In Vivo pH Mapping in Brain Tumors by 31P-Informed deepCEST MRI. NMR in Biomedicine, 38(6). https://doi.org/10.1002/nbm.70060
• Shrestha, P., Kulyabin, M., Sindel, A., Baraas, R., Gilson, S., Pedersen, H., & Maier, A. (2025). Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging. In Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Stecher, D., Ziegltrum, L., Reiprich, P., Fuchs, C., Maier, A., & Schmidt, J. (2025). Neural network synthetic dataset generation for fault detection in district heating substations. Smart Energy, 20. https://doi.org/10.1016/j.segy.2025.100206
• Stöwer, P., Schilling, A., Ramezani, P., KISSANE, H., Maier, A., & Krauß, P. (2025). Multi-modal cognitive maps for language and vision based on neural successor representations. Neurocomputing, 631. https://doi.org/10.1016/j.neucom.2025.129662
• Sun, Y., Huang, Y., Yang, Z., Schneider, L.-S., Thies, M., Gu, M.,... Maier, A. (2025). EAGLE: an edge-aware gradient localization enhanced loss for CT image reconstruction. Journal of Medical Imaging, 12(1). https://doi.org/10.1117/1.JMI.12.1.014001
• Sun, Y., Schneider, L.-S., Ye, C., Gu, M., Mei, S., Bayer, S., & Maier, A. (2025). Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction. In Proceedings of the International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.
• Sun, Y., Sun, Y., Schneider, L.-S., Schwarz, A., Gu, M., Mei, S.,... Maier, A. (2025). LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT. In International Workshop on Reconstruction and Imaging Motion Estimation (pp. 76--86). South Korea.
• Tan, J.Y., Rist, L., Ayala Hernandez, A., Sühling, M., Brandt, E.G.S., Maier, A., & Taubmann, O. (2025). Pancreatic duct centerline extraction for image unfolding in photon-counting CT. Computers & Graphics, 133. https://doi.org/10.1016/j.cag.2025.104426
• Tang, L., Nau, M., & Maier, A. (2025). End-to-end Encoders Stabilize Quantum Convolutional Neural Networks for Medical Image Classification. In Springer Nature (Eds.), Bildverarbeitung für die Medizin 2025 (pp. 158–163). Regensburg, DE: Wiesbaden: Springer Nature.
• Viriyasaranon, T., Ma, S., Thies, M., Maier, A., & Choi, J.H. (2025). Unsupervised motion artifacts reduction for cone-beam CT via enhanced landmark detection. Expert Systems With Applications, 278. https://doi.org/10.1016/j.eswa.2025.127258
• Vorberg, L., Ditt, H., Sühling, M., Maier, A., Murray, N., Nicolaou, S., & Taubmann, O. (2025). Bayesian Uncertainty Estimation Improves nnU-Net Generalization to Unseen Sites for Stroke Lesion Segmentation. In Image Analysis in Stroke Diagnosis and Interventions (pp. 22-30). Marrakesh, MA: Cham: Springer.
• Vorberg, L., Ditt, H., Sühling, M., Maier, A., Murray, N., Nicolaou, S., & Taubmann, O. (2025). Usefulness of Monoenergetic Non-contrast CT and X-Map Images for Deep Learning-Based Stroke Lesion Segmentation. In Ruisheng Su, Ezequiel de la Rosa, Leonhard Rist, Ewout Heylen, Frank te Nijenhuis, Danny Ruijters, Markus D. Schirmer, Richard McKinley, Susanne Wegener, Roland Wiest, Theo van Walsum (Eds.), Image Analysis in Stroke Diagnosis and Interventions (pp. 31-39). Marrakesh, MA: Cham: Springer.
• Vorberg, L., Rist, L., Ditt, H., Maier, A., & Taubmann, O. (2025). Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT. In Image Analysis in Stroke Diagnosis and Interventions (pp. 52-61). Daejeon, KR: Cham: Springer.
• Weber, F., Belanche-Muñoz, L., & Maier, A. (2025). Impact of Plasticity-Based Reservoir Adaptation on Spectral Radius and Performance of ESNs. In Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions (pp. 163-175). Kaunas, LT: Springer.
• Weise, T., Demir, K., Perez Toro, P.A., Arias Vergara, T., Maier, A., Nöth, E.,... Yang, S.H. (2025). Towards End-to-End Speech Articulation and Spoken Language Analysis Using Deep Learning. Human-Centric Intelligent Systems, 5(1), 103-122. https://doi.org/10.1007/s44230-025-00094-6
• Wind, S., Sopa, J., Truhn, D., Lotfinia, M., Nguyen, T.-T., Bressem, K.,... Tayebi Arasteh, S. (2025). Multi-step retrieval and reasoning improves radiology question answering with large language models. npj Digital Medicine, 8(1). https://doi.org/10.1038/s41746-025-02250-5
• Wu, F., Dreier, M.N., Gourmelon, N., Wind, S., Zhang, J., Seehaus, T.,... Christlein, V. (2025). AMD-HookNet++: Evolution of AMD-HookNet with Hybrid CNN-Transformer Feature Enhancement for Glacier Calving Front Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 64, 1-22. https://doi.org/10.1109/TGRS.2025.3642764
• Wu, F., Seuret, M., Mayr, M., Kordon, F., Zöllner, J., Wind, S.,... Christlein, V. (2025). Lightweight cross-attention-based HookNet for historical handwritten document layout analysis. International Journal on Document Analysis and Recognition, 28, 409-427. https://doi.org/10.1007/s10032-025-00519-9
• Wu, F., Zhang, J., Liu, D., Maier, A., & Christlein, V. (2025). Deep learning-based debris flow hazard detection and recognition system: a case study. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-86471-4
• Ye, C., Schneider, L.-S., Sun, Y., Thies, M., & Maier, A. (2025). Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model. In John M. Sabol, Ke Li, Shiva Abbaszadeh (Eds.), Medical Imaging 2025: Physics of Medical Imaging (pp. 134052L). San Diego, CA, US: SPIE.
• Ye, C., Schneider, L.-S., Sun, Y., Thies, M., & Maier, A. (2025). Learned Shift-variant CBCT Reconstruction Weights for Non-continuous Trajectories. In Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (Eds.), Informatik aktuell (pp. 292-297). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
• Ye, C., Schneider, L.-S., Sun, Y., Thies, M., Mei, S., & Maier, A. (2025). DRACO: differentiable reconstruction for arbitrary CBCT orbits. Physics in Medicine and Biology, 70(7). https://doi.org/10.1088/1361-6560/adbb50
• Öttl, M., Steenpaß, J., Wilm, F., Qiu, J., Rübner, M., Lang-Schwarz, C.,... Breininger, K. (2025). Fully automatic HER2 tissue segmentation for interpretable HER2 scoring. Journal of Pathology Informatics, 17. https://doi.org/10.1016/j.jpi.2025.100435
• Öttl, M., Wilm, F., Steenpaß, J., Qiu, J., Rübner, M., Hartmann, A.,... Breininger, K. (2025). Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. In Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 236-252). Milan, IT: Springer Science and Business Media Deutschland GmbH.

2024

• Adrian, A., Basaran, A., Dykes, N., Evert, S., Gritz, M., Humml, M.,... Stürmer, V. (2024, December). DIREGA – Building Decision Support for German Register Law. Poster presentation at JURIX 2024, Brno, CZ.
• Albasu, F.B., Kulyabin, M., Zhdanov, A., Dolganov, A., Ronkin, M., Borisov, V.,... Maier, A. (2024). Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques. Bioengineering, 11(9). https://doi.org/10.3390/bioengineering11090866
• Arias Vergara, T., Perez Toro, P.A., Liu, X., Xing, F., Stone, M., Zhuo, J.,... Maier, A. (2024). Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data. In Interspeech 2024 (pp. 927-931). Kos Island, GR: International Speech Communication Association.
• Augustin, L., Wagner, F., Thies, M., & Maier, A. (2024). Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 310-315). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Barnhill, A., Nöth, E., Maier, A., & Bergler, C. (2024). ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement. In Proceedings of the Annual Conference of the International Speech Communication Association. Kos, Greece, GR.
• Barnhill, A., Towers, J.R., Nöth, E., Maier, A., & Bergler, C. (2024). Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data. In Proceedings of the 27th International Conference on Pattern Recognition 2024. Kolkata, India.
• Basak, P., Ramachandran, A., Maier, A., & Bayer, S. (2024). Unveiling Consumer Behavior in District Heating Network: A Contrastive Learning Approach to Clustering. In Proceedings of the SESAAU2024 – Smart Energy Systems Conference. Aalborg, Denmark, DK.
• Bayer, S., Sun, Y., Maier, A., & Hoffmann, J. (2024). Antitrust Regulation in the Era of Digital Market - A new perspective considering covert channel and artificial intelligence with technical demonstration. In Proceedings of the TilTing Perspectives 2024. Tilburg, Netherlands.
• Bhandary Panambur, A., Madhu, P., Bayer, S., & Maier, A. (2024). Enhancing downstream classification of breast abnormalities in contrast enhanced spectral mammography using a neighborhood representation loss. In Weijie Chen, Susan M. Astley (Eds.), Medical Imaging 2024: Computer-Aided Diagnosis. San Diego, US: SPIE.
• Bhandary Panambur, A., Yu, H., Bhat, S., Madhu, P., Bayer, S., & Maier, A. (2024). Attention-guided Erasing. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024 (pp. 13-18). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Brock, L., Ben-Atya, H., Saar, G., Folle, L., Maier, A., Vandoorne, K., & Freiman, M. (2024). T2 Distribution Analysis of Inflamed Bone Marrow Compartments in MR Images with Quantitative T2-mapping. Poster presentation at 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore, SG.
• Bueß, L., Stollenga, M., Schinz, D., Wiestler, B., Kirschke, J., Maier, A.,... Keicher, M. (2024). Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis. In Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupe, Hervé Delingette, Carole Lartizien, Diana Mateus (Eds.), Proceedings of MIDL 2024 (pp. 151-167). Paris, FR.
• Büter, R., Han, J.J., Acar, A., Li, Y., Puentes, P.R., Soberanis-Mukul, R.D.,... Wu, J.Y. (2024). Improving the Temporal Accuracy of Eye Gaze Tracking for the da Vinci Surgical System through Automatic Detection of Decalibration Events and Recalibration. Journal of Medical Robotics Research. https://doi.org/10.1142/S2424905X24400014
• Das, B., Zhao, G., Islam, S., Re, T.J., Comaniciu, D., Maier, A., & Gibson, E. (2024). Co-ordinate-based positional embedding that captures resolution to enhance transformer’s performance in medical image analysis. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-59813-x
• Demir, K., Lojo Rodríguez, M.B., Weise, T., Maier, A., & Yang, S.H. (2024). Towards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis. In Interspeech 2024 (pp. 1465-1469). Kos Island, GR: International Speech Communication Association.
• Denzinger, S., Goldmann, F., Wels, M., Schöbinger, M., Neumann, D., Allmendinger, T.,... Maier, A. (2024). Photon Counting-Based Metrics for Soft Tissue Differentiation in Coronary Plaque Analysis. In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (pp. 1-1). Tampa, US.
• Dreier, M.N., Gourmelon, N., Koch, M., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2024). A Benchmark Dataset for Radio Echo Sounding Data. Poster presentation at European Geosciences Union 2024, Wien.
• El-Zein, B., Eckert, D., Weber, T., Rohleder, M., Ritschl, L., Kappler, S., & Maier, A. (2024). A Realistic Collimated X-Ray Image Simulation Pipeline. In Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 137-145). Vancouver, BC, CA: Springer Science and Business Media Deutschland GmbH.
• Fan, F., Qiu, J., Huang, Y., & Maier, A. (2024). Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion. In Proceedings of the The 8th International Conference on Image Formation in X-Ray Computed Tomography (pp. 94-97). Bamberg, Germany.
• Goldmann, M., Manhart, M., Preuhs, A., Goldmann, F., Kowarschik, M., & Maier, A. (2024). OrdinalNet: A Deep Learning-based Relative Image Quality Metric for Motion Compensation in CBCT. In IEEE (Eds.), IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) (pp. 1 - 1). Tampa, FL, US: New York, USA: IEEE.
• Gu, M., Thies, M., Mei, S., Wagner, F., Fan, M., Sun, Y.,... Maier, A. (2024). Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. In Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part IX (pp. 681-691). Marrakesh, MA: Cham: Springer.
• Hagag, A., Gomaa, A., Kornek, D., Maier, A., Fietkau, R., Bert, C.,... Putz, F. (2024). Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. In Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 198-208). Marrakesh, MAR: Springer Science and Business Media Deutschland GmbH.
• Hagen, F., Vorberg, L., Thamm, F., Ditt, H., Maier, A., Brendel, J.M.,... Horger, M. (2024). Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm – a single centre retrospective study. International Journal of Cardiovascular Imaging. https://doi.org/10.1007/s10554-024-03222-8
• Heger, L., Heidkamp, G.F., Amon, L., Nimmerjahn, F., Bäuerle, T., Maier, A.,... Dudziak, D. (2024). Unbiased high-dimensional flow cytometry identified NK and DC immune cell signature in Luminal A-type and triple negative breast cancer. OncoImmunology, 13(1). https://doi.org/10.1080/2162402X.2023.2296713
• Hernandez, A., Perez Toro, P.A., Arias-Vergara, T., Vasquez-Correa, J.C., Yang, S.H., Orozco-Arroyave, J.R., & Maier, A. (2024). Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation. In Elmar Nöth, Aleš Horák, Petr Sojka (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 149-160). Brno, CZE: Springer Science and Business Media Deutschland GmbH.
• Huang, H., Zinnen, M., Liu, S., Maier, A., & Christlein, V. (2024). Scene Classification on Fine Arts with Style Transfer. In SUMAC '24: Proceedings of the 6th workshop on the analySis, Understanding and proMotion of heritAge Contents (pp. 18-27).
• Huang, Y., Bert, C., Gomaa, A., Fietkau, R., Maier, A., & Putz, F. (2024). An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration. IEEE Access, 1-16. https://doi.org/10.1109/ACCESS.2024.3431885
• Huang, Y., Fan, F., Gomaa, A., Maier, A., Fietkau, R., Bert, C., & Putz, F. (2024). Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data. In Proceedings of the The 8th International Conference on Image Formation in X-Ray Computed Tomography (pp. 78-81). Bamberg, Germany.
• Hussian, A., Zinnen, M., Tran, T.M.H., Maier, A., & Christlein, V. (2024). Gesture Classification in Artworks Using Contextual Image Features. In Proceedings of the Digital Humanities Conference 2024. The Roy Rosenzweig Center for History and New Media, Arlington, US.
• Husvogt, L., Yaghy, A., Camacho, A., Lam, K., Schottenhamml, J., Ploner, S.,... Maier, A. (2024). Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-72375-2
• Islam, S., Murthy, V.N., Neumann, D., Das, B., Sharma, P., Maier, A.,... Ghesu, F.C. (2024). Self-supervised learning for interventional image analytics: toward robust device trackers. Journal of Medical Imaging, 11(3). https://doi.org/10.1117/1.JMI.11.3.035001
• Jamil, M.U., Won, J., Ploner, S., Marmalidou, A., Kaiser, S., Takahashi, H.,... Waheed, N. (2024). Age-Related Variations in the External Limiting Membrane and the Ellipsoid Zone. In Proceedings of the ARVO annual meeting. Seattle, WA, US.
• Kaiser, S., Won, J., Yaghy, A., Ploner, S., Jamil, M.U., Marmalidou, A.,... Waheed, N. (2024). Volumetric High-Resolution Optical Coherence Tomography Reveals Longitudinal Changes in Subretinal Drusenoid Deposits in Intermediate Dry Age-related Macular Degeneration. In Proceedings of the ARVO annual meeting 2024. Seattle, WA, US.
• Karbole, W., Ploner, S., Won, J., Marmalidou, A., Takahashi, H., Waheed, N.K.,... Maier, A. (2024). 3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 350-355). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Khun Jush, F., Dueppenbecker, P.M., & Maier, A. (2024). Speed-of-Sound Mapping for Pulse-Echo Ultrasound Raw Data Using Linked-Autoencoders. In Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 103-114). Honolulu, HI, USA: Springer Science and Business Media Deutschland GmbH.
• Kulyabin, M., Constable, P., Zhdanov, A., Lee, I., Thompson, D.A., & Maier, A. (2024). Attention to the Electroretinogram: Gated Multilayer Perceptron for ASD Classification. IEEE Access, 12. https://doi.org/10.1109/ACCESS.2024.3386638
• Kulyabin, M., Kremers, J., Holbach, V., Maier, A., & Huchzermeyer, C. (2024). Artificial intelligence for detection of retinal toxicity in chloroquine and hydroxychloroquine therapy using multifocal electroretinogram waveforms. Scientific Reports, 14(1), 24853. https://doi.org/10.1038/s41598-024-76943-4
• Kulyabin, M., Sindel, A., Pedersen, H., Gilson, S., Baraas, R., & Maier, A. (2024). Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging. In Proceedings of the 27th International Conference on Pattern Recognition 2024. Kolkata, India, IN.
• Kulyabin, M., Sokolov, G., Galaida, A., Maier, A., & Arias Vergara, T. (2024). SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology. In Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal (Eds.), Proceedings of the 27th International Conference on Pattern Recognition 2024 (pp. 154-163). Kolkata, India, IN: Springer.
• Kulyabin, M., Zhdanov, A., Maier, A., Loh, L., Estevez, J.J., & Constable, P. (2024). Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented Populations. Journal of Ophthalmology. https://doi.org/10.1155/2024/1990419
• Kulyabin, M., Zhdanov, A., Nikiforova, A., Stepichev, A., Kuznetsova, A., Ronkin, M.,... Maier, A. (2024). OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods. Scientific Data, 11. https://doi.org/10.1038/s41597-024-03182-7
• Kulyabin, M., Zhdanov, A., Pershin, A., Sokolov, G., Nikiforova, A., Ronkin, M.,... Maier, A. (2024). Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers. Bioengineering, 11(9), 13. https://doi.org/10.3390/bioengineering11090940
• Leipert, M., Herl, G., Zabler, S., & Maier, A. (2024). Volumetric Instance Detection for Overlapping Shoes in Computed Tomography. In Proceedings of the 13th Conference on Industrial Computed Tomography. Wels, AT: NDT.net.
• Lesyk, E., Arias Vergara, T., Nöth, E., Maier, A., Orozco-Arroyave, J.R., & Perez Toro, P.A. (2024). Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings. Human-Centric Intelligent Systems, 4(4), 633-642. https://doi.org/10.1007/s44230-024-00088-w
• Liu, C., Fan, F., Schwarz, A., & Maier, A. (2024). Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets. In Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 145-154). Marrakesh, MAR: Springer Science and Business Media Deutschland GmbH.
• Liu, C., Klein, L., Huang, Y., Baader, E., Lell, M.M., Kachelrieß, M., & Maier, A. (2024). Two-view topogram-based anatomy-guided CT reconstruction for prospective risk minimization. Scientific Reports, 14, 1-11. https://doi.org/10.1038/s41598-024-59731-y
• Liu, X., Xing, F., Bian, Z., Arias Vergara, T., Perez Toro, P.A., Maier, A.,... Woo, J. (2024). Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 (pp. 701-711). Marrakesh, MA: Cham: Springer Science and Business Media Deutschland GmbH.
• Lüer, L., Peters, I.M., Smith, A.-S., Dorschky, E., Eskofier, B., Liers-Bergmann, F.,... Brabec, C. (2024). A digital twin to overcome long-time challenges in photovoltaics. Joule, 8, 1-17. https://doi.org/10.1016/j.joule.2023.12.010
• Martín Vicario, C., Rodriguez Salas, D., Maier, A., Hock, S., Kuramatsu, J., Kallmünzer, B.,... Mühlen, I. (2024). Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-55761-8
• Maul, N., Birkhold, A., Wagner, F., Thies, M., Rohleder, M., Berg, P.,... Maier, A. (2024). Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction. Computers in Biology and Medicine, 182. https://doi.org/10.1016/j.compbiomed.2024.109178
• Mei, S., Fan, F., Wagner, F., Thies, M., Gu, M., Sun, Y., & Maier, A. (2024). Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models. In Proceedings of the The 8th International Conference on Image Formation in X-Ray Computed Tomography (pp. 82-85). Bamberg, Germany.
• Meyer, N., Ufrecht, C., Periyasamy, M., Plinge, A., Mutschler, C., Scherer, D.D., & Maier, A. (2024). Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. In Candace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon (Eds.), Proceedings - IEEE Quantum Week 2024, QCE 2024 (pp. 817-823). Montreal, QC, CA: Institute of Electrical and Electronics Engineers Inc..
• Nau, M., Vija, A.H., Reymann, M., Gohn, W., & Maier, A. (2024). Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 3-8). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Oetter, N., Pröll, J., Sievert, M., Goncalves, M., Rohde, M., Nobis, C.-P.,... Stelzle, F. (2024). Oral mucosa - an examination map for confocal laser endomicroscopy within the oral cavity: an experimental clinical study. Clinical Oral Investigations, 28(5). https://doi.org/10.1007/s00784-024-05664-9
• Oikonomou, E., Juli, Y., Kolan, R.R., Kern, L., Gruber, T., Alzheimer, C.,... Huth, T. (2024). A deep learning approach to real-time Markov modeling of ion channel gating. Communications Chemistry. https://doi.org/10.1038/s42004-024-01369-y
• Packhäuser, K., Folle, L., Nguyen, T.-T., Thamm, F., & Maier, A. (2024). Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 27-32). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Patoliya, V., Zinnen, M., Maier, A., & Christlein, V. (2024, August). Smell and Emotion: Recognising Emotions in Smell-Related Artworks. Paper presentation at Digital Humanities Conference 2024, Arlington, VA, US.
• Perez Toro, P.A., Arias Vergara, T., Klumpp, P., Weise, T., Schuster, M., Nöth, E.,... Maier, A. (2024). Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 982-986). Kos Island, GR: International Speech Communication Association.
• Perez Toro, P.A., Dineley, J., Kaczkowska, A., Conde, P., Zhang, Y., Matcham, F.,... Cummins, N. (2024). LONGITUDINAL MODELING OF DEPRESSION SHIFTS USING SPEECH AND LANGUAGE. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 12021-12025). Seoul, KOR: Institute of Electrical and Electronics Engineers Inc..
• Pfaff, L., Darwish, O., Wagner, F., Thies, M., Vysotskaya, N., Hoßbach, J.,... Maier, A. (2024). Enhancing diffusion-weighted prostate MRI through self-supervised denoising and evaluation. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-75007-x
• Ploner, S., Won, J., Takahashi, H., Karbole, W., Yaghy, A., Marmalidou, A.,... Maier, A. (2024). A reliable, fully-automatic pipeline for 3D motion correction and volume fusion enables investigation of smaller and lower-contrast OCT features. In Proceedings of the ARVO annual meeting 2024. Seattle, WA, US.
• Rajput, J.R., Weinmüller, S., Endres, J., Dawood, P., Knoll, F., Maier, A., & Zaiß, M. (2024). Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions. In Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part VII (pp. 233-241). Marrakesh, MA: Cham: Springer.
• Ramachandran, A., Mousa, H., Maier, A., & Bayer, S. (2024). A Week Ahead Water Demand Forecasting using Convolutional Neural Network on Multi-Channel Wavelet Scalogram. In Proceedings of the WDSA CCWI 2024 - 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry. University of Ferrara, Ferrara, Italy, IT.
• Ramachandran, A., Mousa, H., Maier, A., & Bayer, S. (2024). Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram †. Engineering Proceedings, 69(1). https://doi.org/10.3390/engproc2024069179
• Ramachandran, A., Neergaard, T.F., Maier, A., & Bayer, S. (2024). Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges. In Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges. Vancouver, Canada, CA.
• Ravi, A., Bernhardt, P., Hoffmann, M., Obler, R., Nguyen, C., Berting, A.,... Maier, A. (2024). Optimizing neurointerventional procedures: an algorithm for embolization coil detection and automated collimation to enable dose reduction. Journal of Medical Imaging, 11(4). https://doi.org/10.1117/1.JMI.11.4.044003
• Rist, L., Homm, C., Lades, F., Hernandez, A.A., Sühling, M., Gudman Steuble Brandt, E.,... Taubmann, O. (2024). Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. In Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine (pp. 45-54). Marrakesh, MA: Cham: Springer.
• Rivera Monroy, L.C., Rist, L., Eberhardt, M., Ostalecki, C., Bauer, A., Vera, J.,... Maier, A. (2024). Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Proceedings of the Bildverarbeitung für die Medizin 2024 (pp. 160-165). Erlangen, DE: Springer Link.
• Rivera Monroy, L.C., Rist, L., Ostalecki, C., Bauer, A., Vera, J., Breininger, K., & Maier, A. (2024). Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-024-03277-x
• Rivera Monroy, L.C., Rist, L., Wilm, F., Ostalecki, C., Baur, A., Vera González, J.,... Maier, A. (2024). Multi-level cancer profiling through joint cell-graph representations. Smart Health, 32, 100470. https://doi.org/10.1016/j.smhl.2024.100470
• Rohleder, M., Kunze, H., Maier, A., & Kreher, B. (2024, April). 3D Metal Segmentation from few X-Ray Images for Metal Artifact Avoidance. Poster presentation at Medical Imaging 2024: Physics of Medical Imaging, San Diego, CA, US.
• Rohleder, M., Thies, M., Riedl, S., Bullert, B., Gierse, J., Privalov, M.,... Kreher, B. (2024). An interactive task-based method for the avoidance of metal artifacts in CBCT. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-024-03103-4
• Schilling, A., Gerum, R., Böhm, C., Rasheed, J., Metzner, C., Maier, A.,... Krauß, P. (2024). Deep learning based decoding of single local field potential events. NeuroImage, 297. https://doi.org/10.1016/j.neuroimage.2024.120696
• Schneider, L.-S., Herl, G., & Maier, A. (2024). Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation. In Proceedings of the CT Meeting 2024. Bamberg, DE.
• Schneider, L.-S., Krauß, P., Schiering, N., Syben, C., Schielein, R., & Maier, A. (2024). Data-driven modeling in metrology - A short introduction, current developments and future perspectives. Technisches Messen, 91(9), 480-503. https://doi.org/10.1515/teme-2024-0004
• Schottenhamml, J., Würfl, T., Ploner, S., Husvogt, L., Lämmer, R., Hohberger, B.,... Mardin, C. (2024). Glaucoma detection using non-perfused areas in OCTA. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-60839-4
• Schottenhamml, J., Würfl, T., Ploner, S., Husvogt, L., Lämmer, R., Hohberger, B.,... Mardin, C. (2024). Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTA. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-71235-3
• Shetty, K., Birkhold, A., Egger, B., Jaganathan, S., Strobel, N., Kowarschik, M., & Maier, A. (2024). HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray Images. In Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 115-124). Honolulu, HI, USA: Springer Science and Business Media Deutschland GmbH.
• Stecher, D., Neumayer, M., Ramachandran, A., Hort, A., Maier, A., Bücker, D., & Schmidt, J. (2024). Creating a labeled district heating data set: From anomaly detection towards fault detection. Energy, 313. https://doi.org/10.1016/j.energy.2024.134016
• Sukowski, F., Rauch, D., Schielein, R., Schön, T., Waldyra, A., Fries, M.,... Becker, C. (2024). SmartCT - Development of AI based methods for automation of RoboCT scan procedures. e-Journal of Nondestructive Testing, 29. https://doi.org/10.58286/29232
• Sun, Y., Schneider, L.-S., Fan, F., Thies, M., Gu, M., Mei, S.,... Maier, A. (2024). Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series. In Proceedings of the CT-Meeting. Bamberg, DE.
• Tayebi Arasteh, S., Arias-Vergara, T., Perez Toro, P.A., Weise, T., Packhäuser, K., Schuster, M.,... Yang, S.H. (2024). Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech. Communications Medicine, 4(1). https://doi.org/10.1038/s43856-024-00609-5
• Thamm, A., Thamm, F., Wiedemann, M., Bretschneider, J., Sikorska, M., & Maier, A. (2024). Deep learning based drill wear segmentation and analysis of the wear progress. International Journal on Interactive Design and Manufacturing. https://doi.org/10.1007/s12008-024-02045-0
• Thies, M., Maul, N., Mei, S., Pfaff, L., Vysotskaya, N., Gu, M.,... Maier, A. (2024). Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 (pp. 253-263). Cham: Springer.
• Thies, M., Wagner, F., Gu, M., Mei, S., Huang, Y., Pechmann, S.,... Maier, A. (2024). Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 211-216). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Thies, M., Wagner, F., Maul, N., Mei, S., Gu, M., Pfaff, L.,... Maier, A. (2024). On the influence of smoothness constraints in computed tomography motion compensation. In Proceedings of the 8th International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting). Bamberg.
• Thies, M., Wagner, F., Maul, N., Yu, H., Goldmann, M., Schneider, L.-S.,... Maier, A. (2024). A gradient-based approach to fast and accurate head motion compensation in cone-beam CT. IEEE Transactions on Medical Imaging, 1-1. https://doi.org/10.1109/TMI.2024.3474250
• Vorberg, L., Taubmann, O., Ditt, H., & Maier, A. (2024). Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 267-272). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Vysotskaya, N., Maul, N., Fusco, A., Hazra, S., Harnisch, J., Arias Vergara, T., & Maier, A. (2024). Transforming Cardiovascular Health: a Transformer-Based Approach to Continuous, Non-Invasive Blood Pressure Estimation via Radar Sensing. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, KR: New York City: IEEE.
• Wang, T., Liu, C., Rist, L., & Maier, A. (2024). Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 291-296). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Weise, T., Klumpp, P., Demir, K., Perez Toro, P.A., Schuster, M., Nöth, E.,... Yang, S.H. (2024). Speaker-and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech. In Interspeech 2024 (pp. 1545-1549). Kos Island, GR: International Speech Communication Association.
• Won, J., Karbole, W., Takahashi, H., Ploner, S., Marmalidou, A., Yaghy, A.,... Fujimoto, J.G. (2024). Topographic measurement of the sub-retinal pigment epithelium space in normal aging and age-related macular degeneration using volumetric high-resolution OCT. In Proceedings of the ARVO imaging in the eye conference. Seattle, WA, US.
• Won, J., Takahashi, H., Ploner, S., Karbole, W., Abu-Qamar, O., Yaghy, A.,... Fujimoto, J.G. (2024). Topographic Measurement of the Subretinal Pigment Epithelium Space in Normal Aging and Age-Related Macular Degeneration Using High-Resolution OCT. Investigative Ophthalmology & Visual Science, 65(10). https://doi.org/10.1167/iovs.65.10.18
• Wu, F., Gourmelon, N., Seehaus, T., Zhang, J., Braun, M., Maier, A., & Christlein, V. (2024). Contextual HookFormer for Glacier Calving Front Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15. https://doi.org/10.1109/TGRS.2024.3368215
• Ye, C., Schneider, L.-S., Sun, Y., & Maier, A. (2024). Deep Learning Computed Tomography based on the Defrise and Clack Algorithm. In Proceedings of the CT Meeting 2024. Bamberg, DE.
• Yu, H., Liu, C., Thies, M., Wagner, F., Wang, A., Zhang, G.,... Maier, A. (2024). Reducing penumbral blur in computed tomography by learning the inverse finite focal spot model. Optics Express, 32(13), 23674-23686. https://doi.org/10.1364/OE.527304
• Yu, H., Ni, S., Thies, M., Wagner, F., Huang, Y., Liu, F., & Maier, A. (2024). Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution. IEEE Transactions on Instrumentation and Measurement, 73, 1-11. https://doi.org/10.1109/TIM.2024.3385839
• Yuan, Y., Schneider, L.-S., & Maier, A. (2024). Application of Gated Recurrent Units for CT Trajectory Optimization. In Proceedings of the CT Meeting 2024. Bamberg, DE.
• Zaiß, M., Rajput, J.R., Dang, H.N., Golkov, V., Cremers, D., Knoll, F., & Maier, A. (2024). Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 94-99). Erlangen, DE: Wiesbaden: Springer Vieweg.
• Zeiser, F.A., da Costa, C.A., de Oliveira Ramos, G., Maier, A., & da Rosa Righi, R. (2024). CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions. Expert Systems With Applications, 255. https://doi.org/10.1016/j.eswa.2024.124644
• Zhou, Y., Schneider, L.-S., Fan, F., & Maier, A. (2024). A 2D Sinogram-Based Approach to Defect Localization in Computed Tomography. In Proceedings of the CT Meeting 2024. Bamberg, DE.
• Zinnen, M., Hussian, A., Maier, A., & Christlein, V. (2024). Recognizing sensory gestures in historical artworks. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-20502-6
• Zinnen, M., Madhu, P., Leemans, I., Bell, P., Hussian, A., Tran, T.M.H.,... Christlein, V. (2024). Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset. Expert Systems With Applications, 255, Part B. https://doi.org/10.1016/j.eswa.2024.124576

2023

• Arias Vergara, T., Londoño-Mora, E., Perez Toro, P.A., Schuster, M., Nöth, E., Orozco Arroyave, J.R., & Maier, A. (2023). Measuring Phonological Precision in Children with Cleft Lip and Palate. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 4638-4642). Dublin, IE: International Speech Communication Association.
• Aubreville, M., Stathonikos, N., Bertram, C.A., Klopfleisch, R., ter Hoeve, N., Ciompi, F.,... Breininger, K. (2023). Mitosis domain generalization in histopathology images — The MIDOG challenge. Medical Image Analysis, 84. https://doi.org/10.1016/j.media.2022.102699
• Aubreville, M., Stathonikos, N., Bertram, C.A., Klopfleisch, R., ter Hoeve, N., Ciompi, F.,... Breininger, K. (2023). Abstract: the MIDOG Challenge 2021 Mitosis Domain Generalization in Histopathology Images. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 115-). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
• Bachmaier, M., Rohleder, M., Swartman, B., Privalov, M., Maier, A., & Kunze, H. (2023). Robust Hough and Spatial-To-Angular Transform Based Rotation Estimation for Orthopedic X-Ray Images. In Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 446-455). Vancouver, BC, CAN: Springer Science and Business Media Deutschland GmbH.
• Bhat, S., Mansoor, A., Georgescu, B., Bhandary Panambur, A., Ghesu, F.C., Islam, S.,... Maier, A. (2023). AUCReshaping: improved sensitivity at high-specificity. Scientific Reports, 13. https://doi.org/10.1038/s41598-023-48482-x
• Brock, L., Ben-Atya, H., Saar, G., Folle, L., Maier, A., Freiman, M., & Vandoorne, K. (2023). Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging. Poster presentation at European Molecular Imaging Meeting (EMIM), Salzburg, AT.
• Castaneda Gavina, E., Suzuki, M., Ashikaga, H., Lluch, È., Meister, F., Mihalef, V.,... Passerini, T. (2023). Virtual Heart Models Help Elucidate the Role of Border Zone in Sustained Monomorphic Ventricular Tachycardia. In Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 216-225). Vancouver, BC, CAN: Springer Science and Business Media Deutschland GmbH.
• Dang, H.N., Endres, J., Weinmüller, S., Glang, F., Loktyushin, A., Scheffler, K.,... Zaiß, M. (2023). MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2-induced blurring in spin echo sequences. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29710
• Das, B., Kapsner, L., Ohlmeyer, S., Laun, F.B., Maier, A., Uder, M.,... Liebert, A. (2023). Detection and prediction of background parenchymal enhancement on breast MRI using deep learning. In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting. London, GB.
• Demir, K., Schieber, H., Weise, T., May, M., Maier, A., & Yang, S.H. (2023). Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition. IEEE Journal of Biomedical and Health Informatics, 1-14. https://doi.org/10.1109/JBHI.2023.3311628
• Denzinger, F., Wels, M., Breininger, K., Taubmann, O., Mühlberg, A., Allmendinger, T.,... Maier, A. (2023). How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography. Scientific Reports, 13(1), 2563-. https://doi.org/10.1038/s41598-023-29347-9
• Denzinger, F., Wels, M., Taubmann, O., Kordon, F., Wagner, F., Mehltretter, S.,... Breininger, K. (2023). Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, CO: IEEE.
• Doerrich, S., Kordon, F., Denzinger, F., El Barbari, J.S., Privalov, M., Vetter, S.Y.,... Kunze, H. (2023). Fast 3D YOLOv3 based standard plane regression of vertebral bodies in intra-operative CBCT volumes. Journal of Medical Imaging, 10. https://doi.org/10.1117/1.JMI.10.3.034503
• Dürrbeck, C., Schulz, M., Pflaum, L., Kallis, K., Geimer, T., Abu-Hossin, N.,... Bert, C. (2023). Estimating follow-up CTs from geometric deformations of catheter implants in interstitial breast brachytherapy: A feasibility study using electromagnetic tracking. Medical Physics. https://doi.org/10.1002/mp.16659
• Fan, F., Kreher, B.W., Keil, H., Maier, A., & Huang, Y. (2023, June). Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-Assisted Spine Surgery. Paper presentation at Bildverarbeitung für die Medizin 2023, Braunschweig, DE.
• Fan, F., Ritschl, L., Beister, M., Biniazan, R., Wagner, F., Kreher, B.W.,... Maier, A. (2023). Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scans. Medical Physics. https://doi.org/10.1002/mp.16919
• Fan, F., Wang, Y., Ritschl, L., Biniazan, R., Beister, M., Kreher, B.W.,... Maier, A. (2023). Metal-conscious Embedding for CBCT Projection Inpainting. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartagena: IEEE.
• Farooq, M.T., Leipert, M., Maier, A., & Christlein, V. (2023). Ressource-Efficient Moth Detection for Pest Monitoring with YOLOv5. In IEEE (Eds.), Proceedings of the 2023 IEEE Symposium Series on Computational Intelligence (pp. 553 - 558). Ciudad de Mexico, MX.
• Folle, L., Fenzl, P., Fagni, F., Thies, M., Christlein, V., Meder, C.,... Kleyer, A. (2023). DeepNAPSI multi-reader nail psoriasis prediction using deep learning. In Nature Scientific Reports. (pp. 5329).
• Folle, L., Fenzl, P., Fagni, F., Thies, M., Christlein, V., Meder, C.,... Kleyer, A. (2023). Author Correction: DeepNAPSI multi-reader nail psoriasis prediction using deep learning. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-37790-x
• Folle, L., Fenzl, P., Fagni, F., Thies, M., Christlein, V., Meder, C.,... Kleyer, A. (2023). Deepnapsi: Deep Learning for Nail Psoriasis Prediction. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, CO: IEEE Computer Society.
• Fragoso-Garcia, M., Wilm, F., Bertram, C.A., Merz, S., Schmidt, A., Donovan, T.,... Klopfleisch, R. (2023). Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images. Veterinary Pathology. https://doi.org/10.1177/03009858231189205
• Fusco, A., Akkus, M., Vysotskaya, N., Hazra, S., Servadei, L., Maier, A., & Wille, R. (2023). RadarSleepNet: Sleep Pose Classification via PointNet++ and 5D Radar Point Clouds. In 2023 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON). Ahmedabad, IN: New York City: IEEE.
• Gabler, E., Nissen, M., Altstidl, T., Titzmann, A., Packhäuser, K., Maier, A.,... Leutheuser, H. (2023). Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1-4). Sydney, NSW, AU: Institute of Electrical and Electronics Engineers Inc..
• Gallo-Aristizabal, J.D., Escobar-Grisales, D., Rios-Urrego, C.D., Perez Toro, P.A., Nöth, E., Maier, A., & Orozco Arroyave, J.R. (2023). Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, COL: IEEE Computer Society.
• Gourmelon, N., Klink, J., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2023). Conditional Random Fields for Improving Deep Learning-based Glacier Calving Front Delineations. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 4939-4942). Pasadena, California, US.
• Gourmelon, N., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2023). Comparability of Deep Learning Techniques for Calving Front Segmentation in SAR Imagery. Paper presentation at European Geoscience Union General Assembly 2023, Vienna, AT.
• Gourmelon, N., Seehaus, T., Klink, J., Braun, M., Maier, A., & Christlein, V. (2023). CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 896-898). Pasadena, California, US.
• Gu, M., Thies, M., Wagner, F., Pechmann, S., Aust, O., Weidner, D.,... Maier, A. (2023). Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Braunschweig, DEU: Springer Science and Business Media Deutschland GmbH.
• Haase, V., Stierstorfer, K., Maier, A., & Noo, F. (2023). A study on the accuracy of polynomial fitting for direct computation of material lengths from projection data in dual energy CT. In Lifeng Yu, Rebecca Fahrig, John M. Sabol (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, USA: SPIE.
• Hauer, C., Nöth, E., Barnhill, A., Maier, A., Guthunz, J., Hofer, H.,... Bergler, C. (2023). ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-38132-7
• Hauer, C., Nöth, E., Barnhill, A., Maier, A., Guthunz, J., Hofer, H.,... Bergler, C. (2023). ORCA-SPY: Killer Whale Sound Source Simulation and Detection, Classification and Localization in PAMGuard Utilizing Integrated Deep Learning Based Segmentation. Scientific Reports, UNDER REVIEW.
• Herrler, J., Williams, S.N., Liebig, P., Ding, B., McElhinney, P., Allwood-Spiers, S.,... Maier, A. (2023). The effects of RF coils and SAR supervision strategies for clinically applicable nonselective parallel-transmit pulses at 7 T. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29569
• Herrmann, O., Gourmelon, N., Seehaus, T., Maier, A., Fürst, J., Braun, M., & Christlein, V. (2023). Out-of-the-box Calving Front Detection Method Using Deep Learning. Cryosphere, 17, 4957–4977. https://doi.org/10.5194/tc-17-4957-2023
• Hertel, M., Liu, C., Song, H., Golatta, M., Kappler, S., Nanke, R.,... Rose, G. (2023). Clinical prototype implementation enabling an improved day-to-day mammography compression. Physica Medica, 106. https://doi.org/10.1016/j.ejmp.2023.102524
• Hoßbach, J., Splitthoff, D.N., Cauley, S., Clifford, B., Polak, D., & Maier, A. (2023, June). Severe MR Motion Artefact Correction with 2 step Deep Learning-based guidance. Poster presentation at 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, CA.
• Huang, Y., Gomaa, A., Semrau, S., Haderlein, M., Lettmaier, S., Weissmann, T.,... Putz, F. (2023). Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for AI-assisted medical education and decision making in radiation oncology. Frontiers in Oncology, 13, 1-13. https://doi.org/10.3389/fonc.2023.1265024
• Huang, Y., Maier, A., Fan, F., Kreher, B.W., Huang, X., Fietkau, R.,... Putz, F. (2023). Deep learning for perspective deformation correction in X-ray imaging. Radiotherapy and Oncology, 182(Supplement 1), S1404. https://doi.org/10.1016/S0167-8140(23)66608-3
• Hung, H., Perez Toro, P.A., Arias Vergara, T., Maier, A., & Nöth, E. (2023). Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach. In Interspeech 2023 (pp. 4623-4627). Dublin, IE: International Speech Communication Association.
• Hwang, Y., Won, J., Yaghy, A., Takahashi, H., Girgis, J.M., Lam, K.,... Fujimoto, J.G. (2023). Retinal blood flow speed quantification at the capillary level using temporal autocorrelation fitting OCTA [Invited]. Biomedical Optics Express, 14(6), 2658-2677. https://doi.org/10.1364/BOE.488103
• Jaganathan, S., Kukla, M., Wang, J., Shetty, K., & Maier, A. (2023). Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion.
• Joshaghani, M., Davari, A., Nejati Hatamian, F., Maier, A., & Riess, C. (2023). Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters, 20. https://doi.org/10.1109/LGRS.2023.3287504
• Kordon, F., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2023). Abstract: Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 244-). Braunschweig, DEU: Springer Science and Business Media Deutschland GmbH.
• Kordon, F., Stiglmayr, M., Maier, A., Martín Vicario, C., Pertlwieser, T., & Kunze, H. (2023). A principled representation of elongated structures using heatmaps. Scientific Reports, 13. https://doi.org/10.1038/s41598-023-41221-2
• Kulyabin, M., Zhdanov, A., Dolganov, A., & Maier, A. (2023). Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals. Sensors. https://doi.org/10.3390/s23135813
• Kulyabin, M., Zhdanov, A., Dolganov, A., Ronkin, M., Borisov, V., & Maier, A. (2023). Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer. Sensors. https://doi.org/10.3390/s23218727
• Langer, S., Taubmann, O., Denzinger, F., Maier, A., & Mühlberg, A. (2023). Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images Deep Technome. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 177-182). Braunschweig, DEU: Springer Science and Business Media Deutschland GmbH.
• Leipert, M., Herl, G., Stebani, J., Zabler, S., & Maier, A. (2023). Three-Step Volumetric Segmentation for Automated Shoe Fitting. In e-Journal of Nondestructive Testing 28. Fürth, DE.
• Liu, C., Denzinger, F., Folle, L., Qiu, J., Klein, L., Maier, J.,... Maier, A. (2023). Whole-Body Multi-Organ Segmentation Using Anatomical Attention. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, COL: IEEE Computer Society.
• Maier, A., & Bayer, S. (2023). Künstliche Intelligenz als Marktteilnehmer – Technische Möglichkeiten. In Marktermöglichung durch Recht im Digitalen Zeitalter. Berlin: Drucker & Humbolt.
• Maul, N., Zinn, K., Wagner, F., Thies, M., Rohleder, M., Pfaff, L.,... Maier, A. (2023). Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. In Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 183-194). San Carlos de Bariloche, AR: Springer Science and Business Media Deutschland GmbH.
• Mei, S., Fan, F., & Maier, A. (2023). Metal Inpainting in CBCT Projections Using Score-based Generative Model. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartagena, CO: IEEE.
• Mühlberg, A., Ritter, P., Langer, S., Goossens, C., Nübler, S., Schneidereit, D.,... Kreiß, L. (2023). SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for Prior-Informed Assessment of Muscle Function and Pathology. Advanced Science. https://doi.org/10.1002/advs.202206319
• Nau, M., Reymann, M., Massanes, F., Vija, A.H., & Maier, A. (2023, December). Computing Null Space Hallucinations on Simulated SPECT Image Reconstructions. Poster presentation at 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), Vancouver, BC, Canada, CA.
• Nau, M., Vija, A.H., Gohn, W., Reymann, M., & Maier, A. (2023). Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction. Journal of Imaging, 9(10). https://doi.org/10.3390/jimaging9100221
• Neumayer, M., Stecher, D., Grimm, S., Maier, A., Bücker, D., & Schmidt, J. (2023). Fault and anomaly detection in district heating substations: A survey on methodology and data sets. Energy, 276. https://doi.org/10.1016/j.energy.2023.127569
• Packhäuser, K., Folle, L., Thamm, F., & Maier, A. (2023). Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartagena, Colombia: IEEE.
• Packhäuser, K., Gündel, S., Münster, N., Syben, C., Christlein, V., & Maier, A. (2023). Abstract: Is Medical Chest X-ray Data Anonymous? Paper presentation at German Workshop on Medical Image Computing, Braunschweig, DE.
• Packhäuser, K., Gündel, S., Thamm, F., Denzinger, F., & Maier, A. (2023). Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. In Greenspan H, Madabhushi A, Mousavi P, Salcudean S, Duncan J, Syeda-Mahmood T, Taylor R (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Vancouver, CA: Cham: Springer.
• Pan, Z., Breininger, K., Aubreville, M., Stelzle, F., Maier, A., Oetter, N.,... Sievert, M. (2023). Defining a baseline identification of artifacts in confocal laser endomicroscopy in head and neck cancer imaging. American Journal of Otolaryngology, 44(2). https://doi.org/10.1016/j.amjoto.2022.103779
• Patwari, M., Gutjahr, R., Marcus, R., Thali, Y., Calvarons, A.F., Raupach, R., & Maier, A. (2023). Reducing the risk of hallucinations with interpretable deep learning models for low-dose CT denoising: comparative performance analysis. Physics in Medicine and Biology, 68(19). https://dx.doi.org/10.1088/1361-6560/acfc11
• Perez Toro, P.A., Arias Vergara, T., Braun, F., Hönig, F., Tobón-Quintero, C.A., Aguillón, D.,... Orozco Arroyave, J.R. (2023). Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 1748-1752). Dublin, IRL, IE: International Speech Communication Association.
• Perez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Bayerl, S.P., Klumpp, P., Riedhammer, K.T.,... Orozco Arroyave, J.R. (2023). Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets. In ICASSP 2023. Rhodes Island, GR.
• Pfaff, L., Hoßbach, J., Preuhs, E., Wagner, F., Arroyo Camejo, S., Kannengiesser, S.,... Maier, A. (2023). Self-supervised MRI denoising: leveraging Stein’s unbiased risk estimator and spatially resolved noise maps. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-49023-2
• Pfaff, L., Wagner, F., Hoßbach, J., Preuhs, E., Gadjimuradov, F., Benkert, T.,... Maier, A. (2023). Unsupervised denoising of prostate DWI. In Proceedings of the ISMRM.
• Pfaff, L., Wagner, F., Hoßbach, J., Preuhs, E., Maul, N., Thies, M.,... Maier, A. (2023). Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets. In Proceedings of the International Symposium on Biomedical Imaging (ISBI).
• Pfaff, L., Wagner, F., Hoßbach, J., Preuhs, E., Nickel, M.D., Wuerfl, T., & Maier, A. (2023). Quantitative evaluation of denoising algorithms without noise-free ground-truth data. In Proceedings of the ISMRM.
• Ploner, S., Chen, S., Won, J., Husvogt, L., Breininger, K., Schottenhamml, J.,... Maier, A. (2023). Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 260-). Braunschweig, DEU: Springer Science and Business Media Deutschland GmbH.
• Ploner, S., Won, J., Schottenhamml, J., Girgis, J., Lam, K., Waheed, N.,... Maier, A. (2023). A Spatiotemporal Illumination Model for 3d Image Fusion in Optical Coherence Tomography. In 2023 IEEE 20th International Symposium on Biomedical Imaging. Cartagena, CO: IEEE.
• Ploner, S., Won, J., Yaghy, A., Lam, K., Girgis, J.M., Schottenhamml, J.,... Maier, A. (2023). Advanced volume rebuilding overcomes quilting, stretching, and banding image artifacts in orthogonally-scanned OCT. In Investigative Ophthalmology & Visual Science (pp. 2371-2371). New Orleans, US.
• Raghunath, A., Wagner, F., Thies, M., Gu, M., Pechmann, S., Aust, O.,... Maier, A. (2023). Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. In Bildverarbeitung für die Medizin 2023 (pp. 76-81). Braunschweig, DE.
• Rajput, J.R., Möhle, T.A., Fabian, M., Mennecke, A., Sembill, J., Kuramatsu, J.,... Zaiß, M. (2023). Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T. In Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 449-458). Vancouver, BC, CAN: Springer Science and Business Media Deutschland GmbH.
• Reimann, M., Won, J., Takahashi, H., Yaghy, A., Hwang, Y., Ploner, S.,... Fujimoto, J.G. (2023). Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 232-237). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
• Reymann, M., Vija, A.H., & Maier, A. (2023). Data Driven Gating in SPECT using Isomap. In SNMMI (Eds.), Society of Nuclear Medicine and Molecular Imaging Annual Meeting 2023. Chicago, IL, USA, US.
• Reymann, M., Vija, A.H., & Maier, A. (2023). Masking for DDG in SPECT Reduces Influence of Motion Artifacts. In IEEE (Eds.), IEEE RTSD NSS-MIC 2023. IEEE.
• Reymann, M., Vija, A.H., & Maier, A. (2023). Method for comparison of data driven gating algorithms in emission tomography. Physics in Medicine and Biology.
• Rist, L., Taubmann, O., Ditt, H., Sühling, M., & Maier, A. (2023). Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. In Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 (pp. 737-746). Vancouver, CA: Cham: Springer.
• Rist, L., Taubmann, O., Muhlberg, A., Denzinger, F., Thamm, F., Sühling, M.,... Maier, A. (2023). Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, CO: IEEE Computer Society.
• Rivera Monroy, L.C., Rist, L., Eberhardt, M., Ostalecki, C., Baur, A., Vera, J.,... Maier, A. (2023). Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. In IEEE (Eds.), 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartagena, CO.
• Rodrigues, V.F., da Rosa Righi, R., da Costa, C.A., Zeiser, F.A., Eskofier, B., Maier, A., & Kim, D. (2023). Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud. Health and Technology. https://doi.org/10.1007/s12553-023-00753-3
• Rodriguez Salas, D., Öttl, M., Seuret, M., Packhäuser, K., & Maier, A. (2023). Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartagena, Colombia: IEEE Computer Society.
• Rohleder, M., Mekki, L., Uneri, A., Sisniega, A., Kunze, H., Kleinszig, G.,... Siewerdsen, J.H. (2023). Cone-beam CT trajectory optimization for metal artifact avoidance using ellipsoidal object parameterizations. San Diego, CA, US.
• Rohleder, M., Pradel, C., Wagner, F., Thies, M., Maul, N., Denzinger, F.,... Kreher, B. (2023). Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. In Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 57-65). Vancouver, BC, CAN: Springer Science and Business Media Deutschland GmbH.
• Schauer, J., Thamm, F., Taubmann, O., & Maier, A. (2023). Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods. In Bildverarbeitung für die Medizin 2023.
• Schilling, A., Schaette, R., Sedley, W., Gerum, R.C., Maier, A., & Krauß, P. (2023). Editorial: Auditory perception and phantom perception in brains, minds and machines. Frontiers in Neuroscience, 17. https://doi.org/10.3389/fnins.2023.1293552
• Schilling, A., Sedley, W., Gerum, R.C., Metzner, C., Tziridis, K., Maier, A.,... Krauß, P. (2023). Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception. Brain, 146(12), 4809-4825. https://doi.org/10.1093/brain/awad255
• Schneider, L.-S., Thies, M., Schielein, R., Syben, C., Unberath, M., & Maier, A. (2023). Learning-based Trajectory Optimization for a Twin Robotic CT System. In NDT.net Issue: 2023-03. Fürth, DE.
• Schneider, L.-S., Thies, M., Syben, C., Schielein, R., Unberath, M., & Maier, A. (2023). Task-based Generation of Optimized Projection Sets using Differentiable Ranking. In Fully3D 2023 Proceedings. Stony Brook State University of New York, US.
• Schottenhamml, J., Würfl, T., Ploner, S., Husvogt, L., Maier, A., Hohberger, B., & Mardin, C. (2023). Impact of acquisition area on deep-learning-based glaucoma detection in OCTA. In Investigative Ophthalmology & Visual Science (pp. 345-345). New Orleans, US.
• Schröter, H., Rosenkranz, T., Escalante-B, A.N., & Maier, A. (2023). DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement. In INTERSPEECH 2023. Dublin, Ireland.
• Schröter, H., Rosenkranz, T., Escalante-B, A.N., & Maier, A. (2023). Deep Multi-Frame Filtering for Hearing Aids. In INTERSPEECH 2023. Dublin, Ireland.
• Schubert, A., Hess, D., Heydenreich, G., Mack, O., Maier, A., Görres, D.,... Christlein, V. (2023). Kritischer Katalog der Luther-Bildnisse (1519-1530). Gütersloher Verlagshaus.
• Serra Juhé, A., Rinck, D., & Maier, A. (2023). Generation of Synthetic 3D Data Using Simulated MR Examinations in Augmented Reality. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, COL: IEEE Computer Society.
• Shetty, K., Birkhold, A., Jaganathan, S., Strobel, N., Egger, B., Kowarschik, M., & Maier, A. (2023). BOSS: Bones, organs and skin shape model. Computers in Biology and Medicine, 165. https://doi.org/10.1016/j.compbiomed.2023.107383
• Shetty, K., Birkhold, A., Jaganathan, S., Strobel, N., Kowarschik, M., Maier, A., & Egger, B. (2023). PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 574-584). Vancouver, BC, CA: IEEE Computer Society.
• Sindel, A., Maier, A., & Christlein, V. (2023). A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet. In Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges (pp. 108-121). Online (Montreal, QC, Canada): Springer, Cham..
• Sindel, A., Maier, A., & Christlein, V. (2023). ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints. In Computer Vision – ECCV 2022 Workshops. ECCV 2022 (pp. 298–313). Tel Aviv, IL: Springer Cham.
• Sindel, A., Maier, A., & Christlein, V. (2023). A Vesselsegmentation-based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis. In Bildverarbeitung für die Medizin 2023 (pp. 32-37). Braunschweig: Wiesbaden: Springer Vieweg.
• Stoll, A., Maier, A., Krauß, P., Gerum, R., & Schilling, A. (2023). Coincidence detection and integration behavior in spiking neural networks. Cognitive Neurodynamics. https://doi.org/10.1007/s11571-023-10038-0
• Stöwer, P., Schilling, A., Maier, A., & Krauß, P. (2023). Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings. In Proceedings of the IEEE International Conference on Development and Learning 2023 (ICDL). Macau.
• Stöwer, P., Schilling, A., Maier, A., & Krauß, P. (2023). Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts. Scientific Reports. https://doi.org/10.1038/s41598-023-30307-6
• Sun, S., Woerner, S., Maier, A., Koch, L.M., & Baumgartner, C.F. (2023). Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. In Ipek Oguz, Jack Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heinmann, Despina Kontos, Bennett Landman, Benoit Dawant (Eds.), Proceedings of Machine Learning Research (pp. 937-956). Nashville, TN, USA: ML Research Press.
• Surendra, K., Schilling, A., Stöwer, P., Maier, A., & Krauß, P. (2023). Word class representations spontaneously emerge in a deep neural network trained on next word prediction. In M. Arif Wani, Mihai Boicu, Moamar Sayed-Mouchaweh, Pedro Henriques Abreu, Joao Gama (Eds.), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 (pp. 1481-1486). Jacksonville, FL, USA: Institute of Electrical and Electronics Engineers Inc..
• Tayebi Arasteh, S., Rios-Urrego, C.D., Nöth, E., Maier, A., Yang, S.H., Rusz, J., & Orozco-Arroyave, J.R. (2023). Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages. In Proceedings of INTERSPEECH 2023 (pp. 5). Dublin, IE: Dublin, Ireland.
• Tayebi Arasteh, S., Romanowicz, J., Pace, D.F., Golland, P., Powell, A.J., Maier, A.,... Moghari, M.H. (2023). Automated segmentation of 3D cine cardiovascular magnetic resonance imaging. Frontiers in Cardiovascular Medicine, 10. https://doi.org/10.3389/fcvm.2023.1167500
• Tayebi Arasteh, S., Weise, T., Schuster, M., Nöth, E., Maier, A., & Yang, S.H. (2023). The effect of speech pathology on automatic speaker verification: a large-scale study. Scientific Reports, 13, 20476. https://doi.org/10.1038/s41598-023-47711-7
• Thamm, A., Thamm, F., Sawodny, A., Zeitler, S., Merklein, M., & Maier, A. (2023). Unsupervised Deep Learning for Advanced Forming Limit Analysis in Sheet Metal: A Tensile Test-Based Approach. Materials, 16(21), 7001. https://doi.org/10.3390/ma16217001
• Thies, M., Wagner, F., Maul, N., Folle, L., Meier, M., Rohleder, M.,... Maier, A. (2023). Gradient-based geometry learning for fan-beam CT reconstruction. Physics in Medicine and Biology, 68(20). https://doi.org/10.1088/1361-6560/acf90e
• Thies, M., Wagner, F., Maul, N., Pfaff, L., Schneider, L.-S., Syben, C., & Maier, A. (2023). Optimizing CT Scan Geometries With and Without Gradients. In Proceedings of the 17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D). Stony Brook University, New York, US.
• Unberath, M., & Maier, A. (2023). Medical imaging modalities. Elsevier.
• Vorberg, L., Thamm, F., Ditt, H., Horger, M., Hagen, F., & Maier, A. (2023). Detection of Pulmonary Embolisms in NCCT Data Using nnDetection. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 122-127). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
• Vornehm, M., Spiske, U., Fenski, M., Wetzl, J., Preuhs, E., Maier, A.,... Giese, D. (2023). Fully Automatic Scar Segmentation on LGE Images with Reduced Contrast Agent Dose. Paper presentation at SCMR 26th Annual Scientific Sessions, San Diego, CA, US.
• Vysotskaya, N., Will, C., Servadei, L., Maul, N., Mandl, C., Nau, M.,... Maier, A. (2023). Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study. Sensors, 23, 4111. https://doi.org/10.3390/s23084111
• Wagner, F., Thies, M., Maul, N., Pfaff, L., Aust, O., Pechmann, S.,... Maier, A. (2023). Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography. In Proceedings of the 17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D). Stony Brook University, NY, USA.
• Wagner, F., Thies, M., Pfaff, L., Aust, O., Pechmann, S., Weidner, D.,... Maier, A. (2023). On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, CO: IEEE Computer Society.
• Wagner, F., Thies, M., Pfaff, L., Maul, N., Pechmann, S., Gu, M.,... Maier, A. (2023). Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising. In Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 771-782). San Carlos de Bariloche, ARG: Springer Science and Business Media Deutschland GmbH.
• Weise, T., Maier, A., Demir, K., Perez Toro, P.A., Arias Vergara, T., Heismann, B.,... Yang, S.H. (2023). Impact of Including Pathological Speech in Pre-training on Pathology Detection. In Kamil Ekštein, František Pártl, Miloslav Konopík (Eds.), Text, Speech, and Dialogue (pp. 141-153). Pilsen, CZ: Cham: Springer.
• Weise, T., Maier, A., Demir, K., Perez Toro, P.A., Arias Vergara, T., Heismann, B.,... Yang, S.H. (2023). Impact of Including Pathological Speech in Pre-training on Pathology Detection. Springer Science and Business Media Deutschland GmbH.
• Weise, T., Perez Toro, P.A., Deitermann, A., Hoffmann, B., Demir, K., Straetz, T.,... Yang, S.H. (2023). Multi-Modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. In Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle (Eds.), International Conference on Machine Learning (Workshop on Machine Learning for Multimodal Healthcare) (pp. 26-42). Hawaii Convention Center, 1801 Kalākaua Ave, Honolulu, HI 96815, United States, US: Cham: Springer.
• Weissmann, T., Huang, Y., Fischer, S., Roesch, J., Mansoorian, S., Gaona, H.A.,... Putz, F. (2023). Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy. Frontiers in Oncology, 13, 1--14. https://doi.org/10.3389/fonc.2023.1115258
• Wilm, F., Fragoso, M., Bertram, C.A., Stathonikos, N., Ottl, M., Qiu, J.,... Breininger, K. (2023). Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, CO: IEEE Computer Society.
• Wilm, F., Fragoso, M., Bertram, C.A., Stathonikos, N., Öttl, M., Qiu, J.,... Aubreville, M. (2023). Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 206-211). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
• Wilm, F., Fragoso, M., Marzahl, C., Qiu, J., Puget, C., Diehl, L.,... Aubreville, M. (2023). Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 205-). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.
• Won, J., Yaghy, A., Ploner, S., Takahashi, H., Reimann, M.K., Girgis, J.M.,... Fujimoto, J.G. (2023). Motion correction and volume merging of ultrahigh resolution OCT enable 3D visualization and longitudinal tracking of hyperreflective foci. In Investigative Ophthalmology & Visual Science (pp. PP0018-PP0018). New Orleans, US.
• Wu, F., Gourmelon, N., Seehaus, T., Zhang, J., Braun, M., Maier, A., & Christlein, V. (2023). AMD-HookNet for Glacier Front Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-12. https://doi.org/10.1109/TGRS.2023.3245419
• Wu, F., Zhang, J., Xu, Z., Maier, A., & Christlein, V. (2023). Updating Siamese trackers using peculiar mixup. Applied Intelligence, 53(19), 22531-22545. https://doi.org/10.1007/s10489-023-04546-z
• Yang, S.H., Demir, K., Weise, T., Schmid, A., May, M., & Maier, A. (2023). PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images. In Proceedings of the International Conference Interspeech 2023 (pp. 5). Dublin, IE.
• Yoon, S.S., Fischer, C., Amsel, D., Monzon, M., Toupin, S., Pezel, T.,... Giese, D. (2023). Fully automated AI-based cardiac motion parameter extraction – application to mitral and tricuspid valves on long-axis cine MR images. European Journal of Radiology, 166. https://doi.org/10.1016/j.ejrad.2023.110978
• Yoon, S.S., Preuhs, E., Schmidt, M., Forman, C., Chitiboi, T., Sharma, P.,... Maier, A. (2023). Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery. Journal Machine Learning for Biomedical Imaging. https://doi.org/10.59275/j.melba.2023-afe2
• Yu, H., Forster, F., Bhandary Panambur, A., Merino, A., Maier, A., & Marquardt, G. (2023). UNSTAINED WHITE BLOOD CELL CLASSIFICATION USING DEEP LEARNING. In Abstracts of International Society for Laboratory Hematology XXXVIth International Symposium on Technical Innovations in Laboratory Hematology (pp. 3-137). New Orleans, LA, US: Wiley.
• Zeiser, F.A., Santos, I.G., Bohn, H.C., da Costa, C.A., de Oliveira Ramos, G., da Rosa Righi, R.,... Bacelar, A. (2023). Pleural Effusion Classification on Chest X-Ray Images with Contrastive Learning. In Francisco Garcia Penalvo, Massimo Marchiori (Eds.), International Conference on Web Information Systems and Technologies, WEBIST - Proceedings (pp. 399-405). Hybrid, Rome, ITA: Science and Technology Publications, Lda.
• Zinnen, M., Hussian, A., Tran, T.M.H., Madhu, P., Maier, A., & Christlein, V. (2023). SniffyArt: The Dataset of Smelling Persons. In Proceedings of the 5th Workshop on AnalySis, Understanding and ProMotion of HeritAge Contents (pp. 49-58). Ottawa ON, Canada.
• Öttl, M., Steenpaß, J., Rübner, M., Geppert, C.-I., Qiu, J., Wilm, F.,... Breininger, K. (2023). Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. In Proceedings - International Symposium on Biomedical Imaging. Cartagena, CO: IEEE Computer Society.

2022

• Amsel, D., Yoon, S.S., Wetzl, J., & Maier, A. (2022). Diffeomorphic Image Registration for CINE Cardio MR images using deep learning. Poster presentation at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, GB.
• Aust, O., Thies, M., Weidner, D., Wagner, F., Pechmann, S., Mill, L.,... Grüneboom, A. (2022). Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 333-338). Heidelberg, DE: Springer Science and Business Media Deutschland GmbH.
• Bergler, C., Barnhill, A., Perrin, D., Schmitt, M., Maier, A., & Nöth, E. (2022). ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022. Incheon, Korea: International Speech Communication Association.
• Bergler, C., Schmitt, M., Maier, A., Cheng, R.X., Barth, V., & Nöth, E. (2022). ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore, SG: IEEE.
• Bergler, C., Smeele, S.Q., Tyndel, S.A., Barnhill, A., Ortiz, S.T., Kalan, A.K.,... Klump, B.C. (2022). ANIMAL‐SPOT enables animal‐independent signal detection and classification using deep learning. Scientific Reports, 12(1), 1-16. https://doi.org/10.1038/s41598-022-26429-y
• Bertram, C.A., Aubreville, M., Donovan, T.A., Bartel, A., Wilm, F., Marzahl, C.,... Klopfleisch, R. (2022). Computer Assistance: A New Gold Standard for the Mitotic Count? Journal of Comparative Pathology, 191. https://doi.org/10.1016/j.jcpa.2021.11.017
• Bertram, C.A., Aubreville, M., Donovan, T.A., Bartel, A., Wilm, F., Marzahl, C.,... Klopfleisch, R. (2022). Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy. Veterinary Pathology, 59(2), 211-226. https://doi.org/10.1177/03009858211067478
• Bertram, C.A., Marzahl, C., Bartel, A., Stayt, J., Bonsembiante, F., Beeler-Marfisi, J.,... Hill, J. (2022). Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm. Veterinary Pathology. https://doi.org/10.1177/03009858221137582
• Bhandary Panambur, A., Madhu, P., & Maier, A. (2022). Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning. In Proceedings of the German Workshop on Medical Image Computing, 2022 (pp. 173-178). Springer Science and Business Media Deutschland GmbH.
• Bommes, L., Hoffmann, M., Buerhop-Lutz, C., Pickel, T., Hauch, J., Brabec, C.,... Peters, I.M. (2022). Anomaly detection in IR images of PV modules using supervised contrastive learning. Progress in Photovoltaics. https://doi.org/10.1002/pip.3518
• Chatterjee, S., Ramachandran, A., Neergaard, T.F., Maier, A., & Bayer, S. (2022). Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble. In NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning. Hybrid, US: NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning.
• Chen, S., Zhong, X., Dorn, S., Ravikumar, N., Tao, Q., Huang, X.,... Maier, A. (2022). Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT. IEEE Transactions on Radiation and Plasma Medical Sciences, 6(1), 79-86. https://doi.org/10.1109/TRPMS.2021.3055199
• Demir, K., May, M., Schmid, A., Uder, M., Breininger, K., Weise, T.,... Yang, S.H. (2022). PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 464-475). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
• Denck, J., Haas, O., Guehring, J., Maier, A., & Rothgang, E. (2022). Automated Protocoling for MRI Exams-Challenges and Solutions. Journal of Digital Imaging. https://doi.org/10.1007/s10278-022-00610-1
• Denzinger, F., Wels, M., Taubmann, O., Gülsün, M.A., Schöbinger, M., Andre, F.,... Breininger, K. (2022). CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. In Proceedings of the Medical Imaging with Deep Learning. Zürich, CH.
• Denzinger, F., Wels, M., Taubmann, O., Gülsün, M.A., Schöbinger, M., Andre, F.,... Breininger, K. (2022). CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. In PMLR (Eds.), PMLR (pp. 315-324). Zürich, CH.
• Dutta, B., Root, K., Ullmann, I., Wagner, F., Mayr, M., Seuret, M.,... Huang, Y. (2022). Deep learning for terahertz image denoising in nondestructive historical document analysis. Scientific Reports, 12, 1-11. https://doi.org/10.1038/s41598-022-26957-7
• Dörfler, A., Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U.,... Putz, F. (2022). Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S6-S6). HEIDELBERG: SPRINGER HEIDELBERG.
• Eckert, D., Ritschl, L., Herbst, M., Wicklein, J., Vesal, S., Kappler, S.,... Stober, S. (2022). Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties. In Wei Zhao, Lifeng Yu (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Virtual, Online: SPIE.
• Fan, F., Kreher, B.W., Keil, H., Maier, A., & Huang, Y. (2022). Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery. Medical Physics. https://doi.org/10.1002/mp.15617
• Folle, L., Bayat, S., Kleyer, A., Fagni, F., Kapsner, L., Schlereth, M.,... Schett, G. (2022, June). CLASSIFICATION OF PSORIATIC ARTHRITIS, SERONEGATIVE RHEUMATOID ARTHRITIS, AND SEROPOSITIVE RHEUMATOID ARTHRITIS USING DEEP LEARNING ON MAGNETIC RESONANCE IMAGING. Paper presentation at EULAR Congress, Kopenhagen, DK.
• Folle, L., Bayat, S., Kleyer, A., Fagni, F., Kapsner, L., Schlereth, M.,... Simon, D. (2022). Advanced neural networks for classification of MRI in psoriatic arthritis, seronegative, and seropositive rheumatoid arthritis. Rheumatology. https://doi.org/10.1093/rheumatology/keac197
• Folle, L., Bayat, S., Kleyer, A., Fagni, F., Kapsner, L., Schlereth, M.,... Simon, D. (2022, November). Neural Networks for Distinguishing Rheumatoid Arthritis from Psoriatic Arthritis by Using Magnetic Resonance Imaging. Poster presentation at ACR Convergence 2022, Philadelphia, PA, US.
• Folle, L., Meinderink, T., Simon, D., Liphardt, A.-M., Thies, M., Krönke, G.,... Maier, A. (2022, June). Automated Bone Density Measurements using Deep Learning. Poster presentation at QMSKI, Nordwijk, NL.
• Folle, L., Simon, D., Tascilar, K., Krönke, G., Liphardt, A.-M., Maier, A.,... Kleyer, A. (2022). Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.850552
• Folle, L., Tkotz, K., Gadjimuradov, F., Kapsner, L., Fabian, M., Bickelhaupt, S.,... Maier, A. (2022). Towards Super-resolution CEST MRI for Visualization of Small Structures. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, ThomasTolxdorff (Eds.), Bildverarbeitung für die Medizin 2022. (pp. 210-215). Wiesbaden: Springer Vieweg.
• Folle, L., Tkotz, K., Liebert, A., Gadjimuradov, F., Kapsner, L., Fabian, M.,... Maier, A. (2022). Super-Resolution for CEST MRI. Poster presentation at Joint annual meeting ISMRM-ESMRMB ISMRT, London, England.
• Fu, W.L., Husvogt, L., Breininger, K., Schaffert, R., Abu-Qamar, O., Fujimoto, J.G., & Maier, A. (2022). Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 121-126). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Gadjimuradov, F., Benkert, T., Nickel, M.D., Führes, T., Saake, M., & Maier, A. (2022). Deep Learning-Guided Weighted Averaging for Signal Dropout Compensation in DWI of the Liver. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29380
• Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2022). Efficient Exploitation of Image Repetitions in MR Reconstruction. In Proceedings of the Medical Imaging with Deep Learning. Zürich, CH.
• Gomaa, A., Maier, A., & Kosti, R.V. (2022). Supervised Contrastive Learning for Robust and Efficient Multi-modal Emotion and Sentiment Analysis. In 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (pp. 2423-2429). Montreal, CANADA: NEW YORK: IEEE.
• Gottschalk, T., Maier, A., Kordon, F., & Kreher, B.W. (2022). DL-based inpainting for metal artifact reduction for cone beam CT using metal path length information. Medical Physics. https://doi.org/10.1002/mp.15909
• Gourmelon, N., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2022). Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery. Earth System Science Data, 14(9), 4287--4313. https://doi.org/10.5194/essd-14-4287-2022
• Gourmelon, N., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2022). Dissecting Glaciers - Can an Automated Bio-Medical Image Segmentation Tool also Segment Glaciers? Paper presentation at EGU General Assembly 2022, Vienna, Austria.
• Haase, V., Hahn, K., Schoendube, H., Stierstorfer, K., Maier, A., & Noo, F. (2022). Single-material beam hardening correction via an analytical energy response model for diagnostic CT. Medical Physics. https://doi.org/10.1002/mp.15787
• Haase, V., Noo, F., Stierstorfer, K., Maier, A., & McNitt-Gray, M. (2022). Reproducibility in dual energy CT: the impact of a projection domain material decomposition method. In Joseph Webster Stayman (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. Online: SPIE.
• Hatamikia, S., Biguri, A., Herl, G., Kronreif, G., Reynolds, T., Kettenbach, J.,... Birkfellner, W. (2022). Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art. Physics in Medicine and Biology, 67(16). https://dx.doi.org/10.1088/1361-6560/ac8590
• Herl, G., Maier, A., & Zabler, S. (2022). X-ray CT Data Completeness Condition for Sets of Arbitrary Projections. In Joseph Webster Stayman (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. Virtual, Online: SPIE.
• Hernandez, A., Klumpp, P., Das, B., Maier, A., & Yang, S.H. (2022). Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings (pp. 291-300). Brno, Czech Republic, CZ: Springer Nature Switzerland AG: Springer Cham.
• Hernandez, A., Perez Toro, P.A., Nöth, E., Orozco Arroyave, J.R., Maier, A., & Yang, S.H. (2022). Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. In Proceedings of Interspeech 2022 (pp. 51-55). Seoul, KR.
• Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,... Putz, F. (2022). Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. Medical Physics. https://doi.org/10.1002/mp.15863
• Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,... Putz, F. (2022). Verbesserung der Deep Learning basierten Autodetektion von Hirnmetastasen durch Integration von MRT-Voraufnahmen. In Strahlentherapie und Onkologie (S. S6). Stuttgart, DE: Springer.
• Huang, Y., Maier, A., Sommer, P., Fischer, S., Srinivasan, A.L., Fietkau, R.,... Putz, F. (2022). Deep Learning based Prediction of Glioma Growth by using "Growing Neural Cellular Automata". In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S65-S65). HEIDELBERG: SPRINGER HEIDELBERG.
• Huang, Y., Maier, A., Sommer, P., Fischer, S., Srinivasan, A.L., Fietkau, R.,... Putz, F. (2022). Deep Learning basierte Vorhersage von Gliomwachstum mittels Growing Neural Cellular Automata. In Strahlentherapie und Onkologie (S. S65). Stuttgart, DE: Springer.
• Hunger, L., Rajput, J.R., Klein, K., Mennecke, A., Fabian, M., Schmidt, M.,... Zaiß, M. (2022). DeepCEST 7 T: Fast and homogeneous mapping of 7 T CEST MRI parameters and their uncertainty quantification. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29520
• Kim, J., Gadjimuradov, F., Benkert, T., Vahle, T., & Maier, A. (2022, May). Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abodiminal Diffusion-Weighted Imaging. Poster presentation at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, GB.
• Klein, L., Enzmann, L., Byl, A., Liu, C., Sawall, S., Maier, A.,... Kachelrieß, M. (2022). Organ-Specific vs. Patient Risk-Specific Tube Current Modulation in Thorax CT Scans Covering the Female Breast. In Joseph Webster Stayman (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. Virtual, Online: SPIE.
• Klein, L., Liu, C., Steidel, J., Enzmann, L., Knaup, M., Sawall, S.,... Kachelriess, M. (2022). Patient-specific radiation risk-based tube current modulation for diagnostic CT. Medical Physics. https://doi.org/10.1002/mp.15673
• Kordon, F., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2022, April). Abstract: Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery. Paper presentation at Bildverarbeitung für die Medizin 2022, Heidelberg, DE.
• Kordon, F., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2022). Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning. In Wang L, Dou Q, Fletcher PT, Speidel S, Li S (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (pp. 615-625). Singapore, SG: Cham: Springer.
• Kordon, F., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2022). Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery. Journal of Imaging, 8(4). https://doi.org/10.3390/jimaging8040108
• Kuhnert, N., & Maier, A. (2022). FlexParser—The adaptive log file parser for continuous results in a changing world. Journal of Software: Evolution and Process, 34(3), e2426. https://doi.org/10.1002/smr.2426
• Kunze, H., Kordon, F., Maier, A., & Breininger, K. (2022). Direct and indirect image rotation estimation methods of orthopedic x-ray images. In Išgum I, Colliot O (Eds.), Medical Imaging 2022: Image Processing. San Diego, CA, US: SPIE.
• Kunzmann, S., Marzahl, C., Denzinger, F., Bertram, C., Klopfleisch, R., Breininger, K.,... Maier, A. (2022). First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 223-228). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Lam, K., Husvogt, L., Yaghy, A., Camacho, A., Maier, A., & Waheed, N.K. (2022). Automatic identification of Microaneurysms in Diabetic Retinopathy patients utilizing an nn-UNet. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Madhu, P., Marquart, T., Kosti, R.V., Suckow, D., Bell, P., Maier, A., & Christlein, V. (2022). ICC++: Explainable Feature Learning for Art History using Image Compositions. Pattern Recognition, 109153. https://doi.org/10.1016/j.patcog.2022.109153
• Madhu, P., Meyer, A., Zinnen, M., Mührenberg, L., Suckow, D., Bendschus, T.,... Christlein, V. (2022). One-Shot Object Detection in Heterogeneous Artwork Datasets. In Proceedings of the 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA). Salzburg, Austria.
• Madhu, P., Villar-Corrales, A., Kosti, R.V., Bendschus, T., Reinhardt, C., Bell, P.,... Christlein, V. (2022). Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning. Journal of Computing and Cultural Heritage. https://doi.org/10.1145/3569089
• Maier, A., Köstler, H., Heisig, M., Krauß, P., & Yang, S.H. (2022). Known operator learning and hybrid machine learning in medical imaging - A review of the past, the present, and the future. Progress in Biomedical Engineering, 4(2). https://doi.org/10.1088/2516-1091/ac5b13
• Maier, A., Yang, S.H., Maleki, F., Muthukrishnan, N., & Forghani, R. (2022). Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 345-350). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Maier, J., Nitschke, M., Choi, J.H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2022). Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements. IEEE Transactions on Biomedical Engineering, 69(5), 1608-1619. https://doi.org/10.1109/TBME.2021.3123673
• Martín Vicario, C., Kordon, F., Denzinger, F., El Barbari, J.S., Privalov, M., Franke, J.,... Kunze, H. (2022). Normalization techniques for CNN based analysis of surgical cone beam CT volumes. In Išgum I, Colliot O (Eds.), Medial Imaging 2022, Image Processing. San Diego, California: SPIE.
• Martín Vicario, C., Kordon, F., Denzinger, F., El Barbari, J.S., Privalov, M., Franke, J.,... Kunze, H. (2022). Automatic plane adjustment of orthopedic intraoperative flat panel detector CT-volumes. Journal of Medical Imaging, 9(3), 1-19. https://doi.org/10.1117/1.JMI.9.3.034001
• Marzahl, C., Hill, J., Stayt, J., Bienzle, D., Welker, L., Wilm, F.,... Bertram, C.A. (2022). Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01389-0
• Mattick, A., Mayr, M., Maier, A., & Christlein, V. (2022). Is Multitask Learning Always Better? In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 674-687). La Rochelle, FR: Springer Science and Business Media Deutschland GmbH.
• Mayr, M., Felker, A., Maier, A., & Christlein, V. (2022). Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents. In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 598-612). La Rochelle, FRA: Springer Science and Business Media Deutschland GmbH.
• Meister, F., Audigier, C., Passerini, T., Lluch, È., Mihalef, V., Maier, A., & Tommaso, M. (2022). Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model. In Springerf (Eds.), 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII (pp. 167-176). Singapore: Singapore: Springer Link.
• Metzner, C., Schilling, A., Traxdorf, M., Tziridis, K., Maier, A., Schulze, H., & Krauß, P. (2022). Classification at the accuracy limit: facing the problem of data ambiguity. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-26498-z
• Nau, M., Schiffers, F., Li, Y., Xu, B., Maier, A., Tumblin, J.,... Cossairt, O. (2022, March). Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices. Poster presentation at Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, United States, US.
• Packhäuser, K., Gündel, S., Münster, N., Syben, C., Christlein, V., & Maier, A. (2022). Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data. Scientific Reports, 12. https://doi.org/10.1038/s41598-022-19045-3
• Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2022). Limited parameter denoising for low-dose X-ray computed tomography using deep reinforcement learning. Medical Physics, 49(7), 4540 - 4553. https://doi.org/10.1002/mp.15643
• Perez Toro, P.A., Klumpp, P., Hernandez, A., Arias Vergara, T., Lillo, P., Slachevsky, A.,... Orozco Arroyave, J.R. (2022). Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2483-2487). Incheon, KR: International Speech Communication Association.
• Perez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Klumpp, P., Schuster, M., Nöth, E.,... Maier, A. (2022). Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet. Smart Health, 26. https://doi.org/10.1016/j.smhl.2022.100347
• Perez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Klumpp, P., Schuster, M., Nöth, E.,... Maier, A. (2022). Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet. Smart Health, 26. https://doi.org/10.1016/j.smhl.2022.100347
• Periyasamy, M., Davari, A., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2022). How to Get the Most Out of U-Net for Glacier Calving Front Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2022.3148033
• Pfaff, L., Hoßbach, J., Preuhs, E., Arroyo Camejo, S., Nickel, M.D., Maier, A., & Wuerfl, T. (2022). Training a tunable, spatially-adaptive denoiser without clean targets. In Proceedings of the ISMRM.
• Ploner, S., Chen, S., Won, J., Husvogt, L., Breininger, K., Schottenhamml, J.,... Maier, A. (2022). A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 517-527). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
• Popp, A., Taubmann, O., Thamm, F., Ditt, H., Maier, A., & Breininger, K. (2022). Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning. In Bildverarbeitung in der Medizin. Heidelberg.
• Ravi, A., Kordon, F., & Maier, A. (2022). Automatic Switching of Organ Programs in Interventional X-ray Machines Using Deep Learning. In Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2022 (pp. 95-100). Heidelberg, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Reymann, M., Massanes, F., Kuwert, T., Vija, A.H., & Maier, A. (2022). Effect of High-Uptake Regions with Inconsistent Motion on Data Driven Respiratory Gating in SPECT Myocardial Perfusion Imaging using Digital Phantoms. In EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (pp. S266-S267). NEW YORK: SPRINGER.
• Reymann, M., Massanes, F., Kuwert, T., Vija, H., & Maier, A. (2022). Digital Twinning of Dynamic Anthropomorphic Population for Assessment of Data Driven Respiratory Gating Methods in SPECT. In IEEE Nuclear Science Symposium and Medical Imaging Conference. Milano, IT: Milano: IEEE.
• Rist, L., Taubmann, O., Thamm, F., Ditt, H., Sühling, M., & Maier, A. (2022). Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-022-02750-9
• Rivera Monroy, L.C., Eberhardt, M., Ostalecki, C., Baur, A., Vera, J., & Maier, A. (2022). Melanoma Segmentation and Classification Employing Imaging and Graph Encodings. In Proceedings - 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 (pp. 144-145). Washington, DC, US: Institute of Electrical and Electronics Engineers Inc..
• Rodrigues, V.F., Antunes, R.S., Seewald, L.A., Bazo, R., dos Reis, E.S., dos Santos, U.J.,... Fahrig, R. (2022). A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites. Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications, 135, 283-298. https://doi.org/10.1016/j.future.2022.05.006
• Rohleder, M., Gottschalk, T., Maier, A., & Kreher, B.W. (2022). Cross-Domain Metal Segmentation for CBCT Metal Artifact Reduction. In Joseph Webster Stayman (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. Online: SPIE.
• Schilling, A., Gerum, R., Metzner, C., Maier, A., & Krauß, P. (2022). Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.908330
• Schlereth, M., Stromer, D., Breininger, K., Wagner, A., Tan, L., Maier, A., & Knieling, F. (2022). Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 285-290). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Schlereth, M., Stromer, D., Mantri, Y., Tsujimoto, J., Breininger, K., Maier, A.,... Jokerst, J.V. (2022). Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 261-266). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Schmidt, A., Madhu, P., Maier, A., Christlein, V., & Kosti, R.V. (2022). ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings. In IEEE (Eds.), Proceedings of the 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA). Salzburg, AT.
• Schottenhamml, J., Würfl, T., Ploner, S., Husvogt, L., Hohberger, B., Fujimoto, J.G., & Maier, A. (2022). Unsupervised OCT Denoising using speckle split. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. Denver, US: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Schröter, H., Escalante-B, A.N., Rosenkranz, T., & Maier, A. (2022). DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio. In International Workshop on Acoustic Signal Enhancement (IWAENC 2022). Bamberg, DE.
• Schröter, H., Escalante-B, A.N., Rosenkranz, T., & Maier, A. (2022). DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering. In ICASSP 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore.
• Schröter, H., Rosenkranz, T., Escalante-B, A.-N., & Maier, A. (2022). Low Latency Speech Enhancement for Hearing Aids Using Deep Filtering. IEEE/ACM Transactions on Audio, Speech and Language Processing, 30, 2716-2728. https://dx.doi.org/10.1109/TASLP.2022.3198548
• Schäfer, P., Perez Toro, P.A., Klumpp, P., Orozco Arroyave, J.R., Nöth, E., Maier, A.,... Arias Vergara, T. (2022). CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 1959-1960). Incheon, KOR: International Speech Communication Association.
• Schäfer, P., Perez Toro, P.A., Klumpp, P., Orozco-Arroyave, J.R., Nöth, E., Maier, A.,... Arias Vergara, T. (2022). CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. In Proceedings of the 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (pp. 1959-1960). International Speech Communication Association.
• Sievert, M., Aubreville, M., Gostian, A.-O., Mantsopoulos, K., Koch, M., Müller-Hübner, S.K.U.,... Goncalves, M. (2022). Validity of tissue homogeneity in confocal laser endomicroscopy on the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma. European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-022-07304-y
• Sievert, M., Mantsopoulos, K., Müller-Hübner, S.K.U., Eckstein, M., Rupp, R., Aubreville, M.,... Goncalves, M. (2022). Systematic interpretation of confocal laser endomicroscopy: larynx and pharynx confocal imaging score Interpretazione sistematica dell’endomicroscopia confocale laser: punteggio endomicroscopico confocale laringeo e faringeo. Acta Otorhinolaryngologica Italica, 42(1), 26-33. https://doi.org/10.14639/0392-100X-N1643
• Sindel, A., Hernandez, A., Yang, S.H., Christlein, V., & Maier, A. (2022). SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks. In Proceedings of the OAGM Workshop 2021. Computer Vision and Pattern Analysis Across Domains. Verlag der Technischen Universität Graz.
• Sindel, A., Hohberger, B., Fassihi Dehcordi, S., Mardin, C., Lämmer, R., Maier, A., & Christlein, V. (2022). A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration. In Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (Eds.), Bildverarbeitung für die Medizin 2022 (pp. 57–62). Heidelberg: Wiesbaden: Springer.
• Sindel, A., Hohberger, B., Maier, A., & Christlein, V. (2022). Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network. In Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (pp. 108–118). Singapore: Springer, Cham.
• Singh Khural, B., Baer-Beck, M., Fournie, E., Stierstorfer, K., Huang, Y., & Maier, A. (2022). Deep Learning-based Extended Field of View Computed Tomography Image Reconstruction: Influence of Network Design on Image Estimation Outside the Scan Field of View. Biomedical Physics and Engineering Express. https://doi.org/10.1088/2057-1976/ac47fc
• Sohani, M., van der Geest, R.J., Maier, A., Powell, A.J., & Moghari, M.H. (2022). Improved cardiac T1 mapping accuracy and precision with a new hybrid MOLLI and SASHA technique: MOSHA. Magnetic Resonance Imaging, 89, 33-41. https://doi.org/10.1016/j.mri.2022.02.004
• Sommer, P., Huang, Y., Fischer, S., Srinivasan, A.L., Dörfler, A., Schmidt, M.,... Putz, F. (2022). Identification of High-risk Metastases in MRI Follow-up after Stereotaxic by using Radiomics and Delta Radiomics. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S64-S64). HEIDELBERG: SPRINGER HEIDELBERG.
• Sommer, P., Huang, Y., Srinivasan, A.L., Fischer, S., Dörfler, A., Schmidt, M.,... Putz, F. (2022). Distinguishing Progression and Radionecrosis in large progressive Brain Metastases after Stereotaxy by integrating Radiomics, Dose Radiomics and clinical Risk Factors. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S19-S20). HEIDELBERG: SPRINGER HEIDELBERG.
• Song, H., Liu, C., Folle, L., & Maier, A. (2022). Multi-organ Segmentation with Partially Annotated Datasets. In Bildverarbeitung für die Medizin 2022. (pp. 216-221). Wiesbaden: Springer Vieweg.
• Stöwer, P., Krauß, P., & Maier, A. (2022). Neural network based successor representations to form cognitive maps. Poster presentation at Bernstein Conference, Berlin.
• Stöwer, P., Schliecker, C., Schilling, A., Metzner, C., Maier, A., & Krauß, P. (2022). Neural network based successor representations to form cognitive maps of space and language. Scientific Reports. https://doi.org/10.1038/s41598-022-14916-1
• Sukesh, R., Fieselmann, A., Jaganathan, S., Shetty, K., Kaergel, R., Kordon, F.,... Maier, A. (2022). Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes. In Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2022 (pp. 63--68). Heidelberg, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Thamm, F., Jürgens, M., Taubmann, O., Thamm, A., Rist, L., Ditt, H., & Maier, A. (2022). An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. Biomedical Physics and Engineering Express. https://doi.org/10.1088/2057-1976/ac9415
• Thamm, F., Taubmann, O., Jürgens, M., Ditt, H., & Maier, A. (2022). Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations. In Bildverarbeitung für die Medizin 2022. Deutsches Krebsforschungszentrum, Heidelberg, Deutschland, DE.
• Thamm, F., Taubmann, O., Jürgens, M., Thamm, A., Denzinger, F., Rist, L.,... Maier, A. (2022). Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. In Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022. Singapore: Cham: Springer.
• Thies, M., Wagner, F., Gu, M., Folle, L., Felsner, L., & Maier, A. (2022). Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. Paper presentation at 7th International Conference on Image Formation in X-Ray Computed Tomography, Baltimore, US.
• Thies, M., Wagner, F., Huang, Y., Gu, M., Kling, L., Pechmann, S.,... Maier, A. (2022). Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator. Journal of Microscopy. https://doi.org/10.1111/jmi.13125
• Vornehm, M., Fenski, M., Preuhs, E., Maier, A., Schulz-Menger, J., Wetzl, J., & Giese, D. (2022). Improving the Sensitivity to Myocardial Scar in Automatic Segmentations of Left Ventricular Myocardium on LGE Images. Poster presentation at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, GB.
• Vornehm, M., Fenski, M., Preuhs, E., Maier, A., Schulz-Menger, J., Wetzl, J., & Giese, D. (2022). Myocardial scar segmentation on cardiac LGE images with reduced contrast agent dose using deep learning. Paper presentation at 24. Jahrestagung der Deutschen Sektion der ISMRM, Aachen, DE.
• Wagner, F., Thies, M., Denzinger, F., Gu, M., Patwari, M., Ploner, S.,... Maier, A. (2022). Trainable joint bilateral filters for enhanced prediction stability in low-dose CT. Scientific Reports, 12. https://doi.org/10.1038/s41598-022-22530-4
• Wagner, F., Thies, M., Gu, M., Huang, Y., Pechmann, S., Patwari, M.,... Maier, A. (2022). Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography. Medical Physics, 49(8), 5107-5120. https://doi.org/10.1002/mp.15718
• Wagner, F., Thies, M., Karolczak, M., Pechmann, S., Huang, Y., Gu, M.,... Maier, A. (2022). Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 107-112). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Weise, T., Maier, A., Nöth, E., Heismann, B., Schuster, M., & Yang, S.H. (2022). Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment. In Proceedings of the Proceedings of INTERSPEECH 2022. Songdo, KR.
• Yoon, S.S., Fischer, C., Toupin, S., Pezel, T., Garot, J., Wetzl, J.,... Giese, D. (2022). Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets. Paper presentation at Society for Cardiovascular Magnetic Resonance 25th Annual Scientific Sessions, Fort Lauderdale, US.
• Yoon, S.S., Fischer, C., Toupin, S., Pezel, T., Garot, J., Wetzl, J.,... Giese, D. (2022). Fully automatic AI-based valve motion parameter extraction on long axis CINE images – application on N=11000 patient datasets. Paper presentation at Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR, London, GB.
• Yoon, S.S., Gadjimuradov, F., Schmidt, M., Wetzl, J., & Maier, A. (2022). Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI. Paper presentation at Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR, London, GB.
• Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2022). Automated Time Adjusted Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging – Validation and Application on Patient Datasets. Poster presentation at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, GB.
• Zinnen, M., Madhu, P., Bell, P., Maier, A., & Christlein, V. (2022, July). Transfer Learning for Olfactory Object Detection. Paper presentation at Digital Humanities 2022, Tokyo, Japan, Online, JP.
• Zinnen, M., Madhu, P., Kosti, R.V., Bell, P., Maier, A., & Christlein, V. (2022). ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. In 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (pp. 4989-4994). Montreal, CA: NEW YORK: IEEE.
• Zippert, P., Seuret, M., Maier, A., & Hausotte, T. (2022). Influence of X-Ray Radiation on Historical Paper. In Proceedings of the 11th Conference on Industrial Computed Tomography. Wels, Austria, AT.
• Öttl, M., Mönius, J., Marzahl, C., Rübner, M., Geppert, C.-I., Hartmann, A.,... Breininger, K. (2022). Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.

2021

• Anchang, C.G., Xu, C., Raimondo, M.G., Atreya, R., Maier, A., Schett, G.,... Ramming, A. (2021). The Potential of OMICs Technologies for the Treatment of Immune-Mediated Inflammatory Diseases. International Journal of Molecular Sciences, 22(14). https://doi.org/10.3390/ijms22147506
• Aubreville, M., Bertram, C.A., Donovan, T.A., Marzahl, C., Maier, A., & Klopfleisch, R. (2021). A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 198-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Aubreville, M., Bertram, C.A., Marzahl, C., Gurtner, C., Dettwiler, M., Schmidt, A.,... Maier, A. (2021). Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 260-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Bennett, N., Zhang, H., Mueller, K., Fahrig, R., Maier, A., Levenston, M.,... Wang, A. (2021). Weight-Bearing C-Arm Cone-Beam CT Using a Dynamic Range Reducer (DyRaR): Initial Prototype and Phantom Studies. In MEDICAL PHYSICS. HOBOKEN: WILEY.
• Bergler, C., Gebhard, A., Towers, J.R., Butyrev, L., Sutton, G.J., Shaw, T.J.H.,... Nöth, E. (2021). FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales. Scientific Reports, 11(1), 1-16. https://doi.org/10.1038/s41598-021-02506-6
• Bergler, C., Schmitt, M., Maier, A., Symonds, H., Spong, P., Ness, S.,... Nöth, E. (2021). ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. Brno, Czechia: International Speech Communication Association.
• Bertram, C.A., Donovan, T.A., Tecilla, M., Bartenschlager, F., Fragoso, M., Wilm, F.,... Aubreville, M. (2021). Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Biendl, M., Sindel, A., Klinke, T., Maier, A., & Christlein, V. (2021). Automatic Chain Line Segmentation in Historical Prints. In Pattern Recognition. ICPR International Workshops and Challenges (pp. 657-665). Online (Milan, Italy): Springer, Cham.
• Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2021). Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 35-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Chatterjee, S., Bayer, S., & Maier, A. (2021). Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model. In Tackling Climate Change with Machine Learning: workshop at NeurIPS 2021. Online: https://www.climatechange.ai/events/neurips2021.html#accepted-works.
• Chaudhari, P., Schirrmacher, F., Maier, A., Riess, C., & Köhler, T. (2021). Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing. In Proceedings of the DAGM German Conference on Pattern Recognition. virtual.
• Chen, S., Stromer, D., Alnasser Alabdalrahim, H., Schwab, S., Weih, M., & Maier, A. (2021). Abstract: Automatic Dementia Screening and Scoring by Applying Deep Learning on Clock-drawing Tests. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 289-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Davari, A., Islam, S., Seehaus, T., Hartmann, A., Braun, M., Maier, A., & Christlein, V. (2021). On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing, 1-12. https://doi.org/10.1109/TGRS.2021.3115883
• Deitsch, S., Buerhop-Lutz, C., Sovetkin, E., Steland, A., Gallwitz, F., Maier, A., & Rieß, C. (2021). Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images. Machine Vision and Applications, 32. https://doi.org/10.1007/s00138-021-01191-9
• Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). Acquisition Parameter Conditioned Magnetic Resonance Image-to-Image Translation. In Bildverarbeitung für die Medizin 2021. Virtual.
• Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks. Journal of Imaging. https://doi.org/10.3390/jimaging7080133
• Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.
• Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). MR-contrast-aware image-to-image translations with generative adversarial networks. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-021-02433-x
• Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., André, F.,... Maier, A. (2021). Abstract: Automatic CAD-RADS Scoring using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 104-). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
• Denzinger, F., Wels, M., Hopfgartner, C., Lu, J., Schöbinger, M., Maier, A., & Sühling, M. (2021). Coronary Plaque Analysis for CT Angiography Clinical Research. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 223-228). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
• Diehm, J., Hermann, R., Pertlwieser, T., Cheng, W., Fu, W.L., Kordon, F., & Maier, A. (2021). ScanRacer – Fast Track Annotation of Segmentation Masks in Volumetric Medical Images. Poster presentation at HEALTHINF - 14th International Conference on Health Informatics, Online Streaming.
• Dietrich-Sussner, R., Davari, A., Seehaus, T., Braun, M., Christlein, V., Maier, A., & Rieß, C. (2021). Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm. In Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels, BE.
• Doll, B., Hepp, J., Hoffmann, M., Schuler, R., Buerhop-Lutz, C., Peters, I.M.,... Brabec, C. (2021). Photoluminescence for Defect Detection on Full-Sized Photovoltaic Modules. IEEE Journal of Photovoltaics. https://doi.org/10.1109/JPHOTOV.2021.3099739
• Dos Reis, E.S., Seewald, L.A., Antunes, R.S., Rodrigues, V.F., Righi, R.D.R., Da Costa, C.A.,... Fahrig, R. (2021). Monocular multi-person pose estimation: A survey. Pattern Recognition, 118. https://doi.org/10.1016/j.patcog.2021.108046
• Dreizin, D., Goldmann, F., LeBedis, C., Boscak, A., Dattwyler, M., Bodanapally, U.,... Unberath, M. (2021). An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT. Journal of Digital Imaging. https://doi.org/10.1007/s10278-020-00399-x
• Dürrbeck, C., Pflaum, L., Schulz, M., Kallis, K., Geimer, T., Abu-Hossin, N.,... Bert, C. (2021). Implant-based CT estimation towards adaptive breast brachytherapy. In RADIOTHERAPY AND ONCOLOGY (pp. S76-S77). CLARE: ELSEVIER IRELAND LTD.
• Felsner, L., Roser, P., Maier, A., & Riess, C. (2021). Comparison of methods for sensitivity correction in Talbot–Lau computed tomography. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-021-02487-x
• Felsner, L., Syben-Leisner, C., Maier, A., & Riess, C. (2021). Helical Dark-field Fiber Reconstruction. In Proceedings of the International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D).
• Folle, L., Liu, C., Simon, D., Meinderink, T., Liphardt, A.-M., Krönke, G.,... Kleyer, A. (2021, May). Differential diagnosis of RA and PsA using neural networks on 3D bone shape of finger joints. Paper presentation at EULAR 2021 Congress, Paris, FR.
• Folle, L., Meinderink, T., Simon, D., Liphardt, A.-M., Krönke, G., Schett, G.,... Maier, A. (2021). Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density. Scientific Reports, 11(1), 9697. https://doi.org/10.1038/s41598-021-89111-9
• Fu, W.L., Breininger, K., Schaffert, R., Pan, Z., & Maier, A. (2021). “Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-021-02340-1
• Fu, W.L., Mill, L., Seitz, S., Geimer, T., Kling, L., Possart, D.,... Maier, A. (2021). Towards Mouse Bone X-ray Microscopy Scan Simulation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 128-133). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2021). Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI. In Proceedings of the ISMRM & SMRT Annual Conference & Exhibition. Virtual.
• Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2021). Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network. In Proceedings of the ISMRM & SMRT Annual Conference & Exhibition. Virtual.
• Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2021). Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29100
• Ganz, J., Kirsch, T., Hoffmann, L., Bertram, C.A., Hoffmann, C., Maier, A.,... Aubreville, M. (2021). Automatic and explainable grading of meningiomas from histopathology images. In Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz Minhas, Henning Muller, Tingying Peng, Nasir Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec (Eds.), Proceedings of Machine Learning Research (pp. 69-80). Virtual, Online: ML Research Press.
• Geng, M., Tian, Z., Jiang, Z., You, Y., Feng, X., Xia, Y.,... Lu, Y. (2021). PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. IEEE Transactions on Medical Imaging, 40(2), 571-584. https://doi.org/10.1109/TMI.2020.3031617
• Gottschalk, T., Maier, A., Kordon, F., & Kreher, B.W. (2021). Learning-based Patch-wise Metal Segmentation with Consistency Check. In Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 4-9). Virtual Conference: Wiesbaden: Springer Vieweg.
• Gottschalk, T., Maier, A., Kordon, F., & Kreher, B.W. (2021). View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement. Journal Machine Learning for Biomedical Imaging, December 2021 issue(1).
• Gourmelon, N., Bayer, S., Mayle, M., Bach, G., Bebber, C., Munck, C.,... Maier, A. (2021). Implications of Experiment Set-Ups for Residential Water End-Use Classification. Water, 13(2). https://doi.org/10.3390/w13020236
• Gourmelon, N., Seehaus, T., Davari, A., Braun, M., Maier, A., & Christlein, V. (2021, March). Tapping the Potential of Earth Observation - Calving Front Detection in SAR Images using Deep Learning Techniques. Paper presentation at EGU General Assembly 2021.
• Gündel, S., Setio, A.A., Ghesu, F.-C., Grbic, S., Georgescu, B., Maier, A., & Comaniciu, D. (2021). Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. Medical Image Analysis. https://doi.org/10.1016/j.media.2021.102087
• Gündel, S., Setio, A.A., Grbic, S., Maier, A., & Comaniciu, D. (2021). Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 288-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Haas, O., Hutzler, M., Egginger, T.H., Maier, A., & Rothgang, E. (2021). Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes. CIN - Computers, Informatics, Nursing, Publish Ahead of Print. https://doi.org/10.1097/CIN.0000000000000790
• Haas, O., Lopera Gonzalez, L.I., Hofmann, S., Ostgathe, C., Maier, A., Rothgang, E.,... Steigleder, T. (2021). Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining. Frontiers in Digital Health, 3. https://doi.org/10.3389/fdgth.2021.724049
• Haas, O., Maier, A., & Rothgang, E. (2021). Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios. Frontiers in Reproductive Health, 3. https://doi.org/10.3389/frph.2021.756405
• Haas, O., Maier, A., & Rothgang, E. (2021). Rule-Based Models for Risk Estimation and Analysis of In-hospital Mortality in Emergency and Critical Care. Frontiers in Medicine, 8. https://doi.org/10.3389/fmed.2021.785711
• Haas, O., Maier, A., & Rothgang, E. (2021). Using Associative Classification and Odds Ratios for In-Hospital Mortality Risk Estimation. In Proceedings of the Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML).. Online.
• Haase, V., Hahn, K., Schondube, H., Stierstorfer, K., Maier, A., & Noo, F. (2021). Image Reconstruction from Real Dual Energy CT Data Using an Analytical Energy Response Model. In Hideki Tomita, Tatsuya Nakamura (Eds.), 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022. Virtual, Yokohama, JPN: Institute of Electrical and Electronics Engineers Inc..
• Haase, V., Stierstorfer, K., Hahn, K., Schoendube, H., Maier, A., & Noo, F. (2021). Non-Contrast Head CT Imaging Using Dual Energy: A Study on Bias Induced by Imperfections in Energy Response and Material Knowledge. Paper presentation at 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Leuven, Belgium, BE.
• Haase, V., Stierstorfer, K., Hahn, K., Schöndube, H., Maier, A., & Noo, F. (2021). Estimation of statistical weights for model-based iterative ct reconstruction. In Hilde Bosmans, Wei Zhao, Lifeng Yu (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. SPIE.
• Hartmann, A., Davari, A., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2021). Bayesian U-Net for Segmenting Glaciers in Sar Imagery. In Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels, BE.
• Herl, G., Hiller, J., Thies, M., Zaech, J.-N., Unberath, M., & Maier, A. (2021). Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography. IEEE Transactions on Computational Imaging, 7, 894-907. https://doi.org/10.1109/TCI.2021.3102824
• Herrler, J., Liebig, P., Gumbrecht, R., Ritter, D., Schmitter, S., Maier, A.,... Nagel, A.M. (2021). Fast online-customized (FOCUS) parallel transmission pulses: A combination of universal pulses and individual optimization. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.28643
• Hoffmann, M., Buerhop-Lutz, C., Reeb, L., Pickel, T., Winkler, T., Doll, B.,... Christlein, V. (2021). Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. Progress in Photovoltaics. https://doi.org/10.1002/pip.3416
• Hoffmann, M., Hepp, J., Doll, B., Buerhop-Lutz, C., Peters, I.M., Brabec, C.,... Christlein, V. (2021). Module-Power Prediction from PL Measurements using Deep Learning. In Proceedings of the IEEE Photovoltaic Specialists Conference. Fort Lauderdale, FL, USA: IEEE.
• Hoffmann, M., Köhler, T., Doll, B., Schebesch, F., Talkenberg, F., Peters, I.M.,... Christlein, V. (2021). Joint Super-Resolution and Rectification for Solar Cell Inspection. IEEE Journal of Photovoltaics, 11(4), 1051-1058. https://doi.org/10.1109/JPHOTOV.2021.3072229
• Holzmann, M., Davari, A., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2021). Glacier Calving Front Segmentation Using Attention U-Net. In Proceedings of the 2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). Brussels, BE.
• Hoppe, E., Wetzl, J., Roser, P., Felsner, L., Preuhs, A., & Maier, A. (2021). 2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 158-163). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Hoppe, E., Wetzl, J., Yoon, S.S., Bacher, M., Roser, P., Stimpel, B.,... Maier, A. (2021). Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2021.3073091
• Hoßbach, J., Splitthoff, D., Clifford, B., Polak, D., Cauley, S., & Maier, A. (2021). Prospective motion assessment within multi-shot imaging using coil mixing of the data consistency error and deep learning. In Proceedings of the ISMRM & SMRT Annual Conference & Exhibition. Virtual.
• Huang, Y., Fan, F., Syben-Leisner, C., Roser, P., Mill, L., & Maier, A. (2021). Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. Medical Image Analysis, 70. https://doi.org/10.1016/j.media.2021.102028
• Huang, Y., Mill, L., Stoll, R., Kling, L., Aust, O., Wagner, F.,... Maier, A. (2021). Semi-Permeable Filters for Interior Region of Interest Dose Reduction in X-Ray Microscopy. In Bildverarbeitung für die Medizin. Regensburg, DE: Springer.
• Huang, Y., Preuhs, A., Manhart, M., Lauritsch, G., & Maier, A. (2021). Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3072568
• Husvogt, L., Abu-Qamar, O., Levine, E., Schottenhamml, J., Ploner, S., Breininger, K.,... Maier, A. (2021, June). Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy. Poster presentation at ARVO Annual Meeting 2021, US.
• Husvogt, L., Ploner, S., Chen, S., Stromer, D., Schottenhamml, J., Alibhai, A.Y.,... Maier, A. (2021). Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising. Biomedical Optics Express, 12(1), 55-68. https://doi.org/10.1364/BOE.408903
• Husvogt, L., Ploner, S., Chen, S., Stromer, D., Schottenhamml, J., Alibhai, Y.,... Maier, A. (2021). Abstract: Maximum A-posteriori Signal Recovery for OCT Angiography Image Generation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 261-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Jaganathan, S., Wang, J., Borsdorf, A., & Maier, A. (2021). Learning the Update Operator for 2D/3D Image Registration. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 117-122). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Jaganathan, S., Wang, J., Borsdorf, A., Shetty, K., & Maier, A. (2021). Deep Iterative 2D/3D Registration. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (pp. 383-392). Strasbourg, FR: Springer Nature.
• Jiang, G., Biswas, A., Bergler, C., & Maier, A. (2021). InSE-NET: A Perceptually Coded Audio Quality Model based on CNN. In Audio Engineering Society Convention 151. Las Vegas, Nevada, USA.
• Jiang, Z., Huang, Z., Qiu, B., Meng, X., You, Y., Liu, X.,... Lu, Y. (2021). Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. IEEE Transactions on Medical Imaging, 40(2), 688-698. https://doi.org/10.1109/TMI.2020.3035154
• Kedilioglu, O., Lieret, M., Schottenhamml, J., Würfl, T., Blank, A., Maier, A., & Franke, J. (2021). RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments. In Giovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch (Eds.), Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) (pp. 219-226). SciTePress.
• Khun Jush, F., Dueppenbecker, P.M., & Maier, A. (2021). Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound: Impacts of Training Data Format and Imperfections on Convergence. In Papie{ż} BW, Yaqub M, Jiao J, Namburete AIL, Noble JA (Eds.), Medical Image Understanding and Analysis (pp. 140--150). Oxford, United Kingdom: Cham: Springer International Publishing.
• Kordon, F., Maier, A., & Kunze, H. (2021). Latent Shape Constraint for Anatomical Landmark Detection on Spine Radiographs. In Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 350-355). Virtual Conference: Wiesbaden: Springer Vieweg.
• Kordon, F., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2021). Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery. In de Bruijne M, et al. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (pp. 560-570). Straßburg, PE: Cham: Springer.
• Krauß, P., Metzner, C., Joshi, N., Schulze, H., Traxdorf, M., Maier, A., & Schilling, A. (2021). Analysis and visualization of sleep stages based on deep neural networks. Neurobiology of Sleep and Circadian Rhythms, 10. https://doi.org/10.1016/j.nbscr.2021.100064
• Lai, X., Zhou, J., Wessely, A., Heppt, M., Maier, A., Berking, C.,... Zhang, L. (2021). A disease network-based deep learning approach for characterizing melanoma. International Journal of Cancer. https://doi.org/10.1002/ijc.33860
• Maier, A., Deserno, T.M., Handels, H., Maier-Hein, K., Palm, C., & Tolxdorff, T. (2021). IJCARS: BVM 2021 special issue. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-021-02534-7
• Maier, J., Maier, A., Eskofier, B., Fahrig, R., & Choi, J.-H. (2021). 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT. IEEE Access, 9, 71821-71831. https://doi.org/10.1109/ACCESS.2021.3079368
• Maier, J., Nitschke, M., Choi, J.H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2021). Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 336-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Maier, J., Schottenhamml, J., Madhu, P., da Costa, C.A., & Maier, A. (2021). Analysis of Interventional Workflow Phases based on Image Classification. In 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS). Berlin (online conference), DE.
• Mardin, C., Schottenhamml, J., Dehcordi, S.F., Müller, M., Maier, A., & Hohberger, B. (2021). 'APSifyed' Bruch's membrane opening (BMO) based peripapillary OCT-A analysis. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Martín Vicario, C., Kordon, F., Denzinger, F., Weiten, M., Thomas, S., Kausch, L.,... Kunze, H. (2021). Automatic Plane Adjustment in Surgical Cone Beam CT-volumes. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 170-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Marzahl, C., Aubreville, M., Bertram, C.A., Maier, J., Bergler, C., Kröger, C.,... Maier, A. (2021). EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-83827-4
• Marzahl, C., Aubreville, M., Bertram, C.A., Stayt, J., Jasensky, A.K., Bartenschlager, F.,... Maier, A. (2021). Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 48-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Marzahl, C., Bertram, C.A., Aubreville, M., Petrick, A., Weiler, K., Gläsel, A.C.,... Maier, A. (2021). Abstract: Are Fast Labeling Methods Reliable?: A Case Study of Computer-aided Expert Annotations on Microscopy Slides. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 296-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Marzahl, C., Bertram, C.A., Wilm, F., Voigt, J., Barton, A.K., Klopfleisch, R.,... Aubreville, M. (2021). Cell Detection for Asthma on Partially Annotated Whole Slide Images: Learning to be EXACT. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 147-152). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Marzahl, C., Wilm, F., Dressler, F.F., Tharun, L., Perner, S., Bertram, C.A.,... Breininger, K. (2021). Robust Quad-Tree based Registration on Whole Slide Images. In Proceedings of the MICCAI Computational Pathlogy (COMPAY) Workshop (pp. 181-190).
• Mattick, A., Mayr, M., Seuret, M., Maier, A., & Christlein, V. (2021). SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 268-283). Lausanne, CHE: Springer Science and Business Media Deutschland GmbH.
• Meister, F., Passerini, T., Audigier, C., Lluch, È., Mihalef, V., Ashikaga, H.,... Mansi, T. (2021). Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.694869
• Meister, F., Passerini, T., Audigier, C., Lluch, È., Mihalef, V., Ashikaga, H.,... Mansi, T. (2021). Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps. In Esther Puyol Anton, Mihaela Pop, Maxime Sermesant, Victor Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair Young (Eds.), Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges. (pp. 23-34).
• Mill, L., Wolff, D., Gerrits, N., Philipp, P., Kling, L., Vollnhals, F.,... Christiansen, S. (2021). Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. Small Methods. https://doi.org/10.1002/smtd.202100223
• Monzon, M., Yoon, S.S., Fischer, C., Maier, A., Wetzl, J., & Giese, D. (2021). Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.
• Naderi Boldaji, H., Patwari, M., Reymann, M., Gutjahr, R., Raupach, R., & Maier, A. (2021). Deep Learning based Model Observers for Multi - Modal Imaging. In Proceedings of the 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Leuven, Belgium, BE.
• Nau, M., Schiffers, F., Li, Y., Xu, B., Maier, A., Tumblin, J.,... Cossairt, O. (2021). Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. In IEEE (Eds.), Proceedings of the 2021 IEEE International Conference on Image Processing (ICIP) (pp. 2918-2922). Anchorage, AK, USA, US: Piscataway, NJ, USA: IEEE Computer Society.
• Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2021, March). JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering. Poster presentation at German Workshop on Medical Image Computing, 2021, Regensburg, DE.
• Ploner, S., Kraus, M., Moult, E.M., Husvogt, L., Schottenhamml, J., Yasin Alibhai, A.,... Maier, A. (2021). Efficient and high accuracy 3-D OCT angiography motion correction in pathology. Biomedical Optics Express, 12(1), 125-146. https://doi.org/10.1364/BOE.411117
• Ploner, S., Schottenhamml, J., Moult, E., Husvogt, L., Waheed, N.K., Duker, J.S.,... Maier, A. (2021). Improved OCT motion correction in pathology using advanced eye motion modeling. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Rajput, J.R., Preuhs, A., Lauritsch, G., & Maier, A. (2021). Pseudo-Square Tomosynthesis Trajectory for Interventional Lung Procedures. In Hideki Tomita, Tatsuya Nakamura (Eds.), 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022. Virtual, Yokohama, JP: Institute of Electrical and Electronics Engineers Inc..
• Rajput, J.R., Shetty, K., Maier, A., & Berger, M. (2021). Table Motion Detection in Interventional Coronary Angiography. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 55-60). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Reimann, M., Fu, W.L., & Maier, A. (2021). Novel Evaluation Metrics for Vascular Structure Segmentation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 80-85). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Rodriguez Salas, D., Seuret, M., Vesal, S., & Maier, A. (2021). Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network. In Palm, Christoph; Deserno, Thomas M.; Handels, Heinz;Maier, Andreas; Maier-Hein, Klaus;Tolxdorff, Thomas. (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 282-287). Regensburg, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
• Roser, P., Birkhold, A., Preuhs, A., Syben-Leisner, C., Felsner, L., Hoppe, E.,... Maier, A. (2021). X-ray Scatter Estimation Using Deep Splines. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3074712
• Roser, P., Felsner, L., Maier, A., & Riess, C. (2021). Learning the Inverse Weighted Radon Transform. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 49-54). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Roser, P., Zhong, X., Birkhold, A., Preuhs, A., Syben-Leisner, C., Hoppe, E.,... Maier, A. (2021). Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 262-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Rücker, N., Pflueger, L., & Maier, A. (2021). Hardware Failure Prediction on Imbalanced Times Series Data: Generation of Artificial Data Using Gaussian Process and Applying LSTMFCN to Predict Broken Hardware. Journal of Digital Imaging. https://doi.org/10.1007/s10278-020-00411-4
• Schilling, A., Maier, A., Gerum, R., Metzner, C., & Krauß, P. (2021). Quantifying the separability of data classes in neural networks. Neural Networks, 139, 278-293. https://doi.org/10.1016/j.neunet.2021.03.035
• Schottenhamml, J., Moult, E.M., Ploner, S., Chen, S., Novais, E., Husvogt, L.,... Maier, A. (2021). OCT-OCTA segmentation: Combining structural and blood flow information to segment bruch's membrane. Biomedical Optics Express, 12(1), 84-99. https://doi.org/10.1364/BOE.398222
• Schottenhamml, J., Ploner, S., Husvogt, L., Mardin, S., Hohberger, B., Mardin, C., & Maier, A. (2021, June). Deep Learning Glaucoma Classification in enface OCTA scans of the human macular region. Poster presentation at ARVO Annual Meeting 2021, US.
• Schottenhamml, J., Wuerfl, T., Mardin, S., Ploner, S., Husvogt, L., Hohberger, B.,... Maier, A. (2021). Glaucoma classification in 3 x 3 mm en face macular scans using deep learning in a different plexus. Biomedical Optics Express, 12(12), 7434-7444. https://doi.org/10.1364/BOE.439991
• Schröter, H., Rosenkranz, T., Escalante Banuelos, A., & Maier, A. (2021). LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement. In Proc. Interspeech 2021. Brno, CZ.
• Seuret, M., Nicolaou, A., Rodríguez-Salas, D., Weichselbaumer, N., Stutzmann, D., Mayr, M.,... Christlein, V. (2021). ICDAR 2021 Competition on Historical Document Classification. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Document Analysis and Recognition – ICDAR 2021 (pp. 618-634). Lausanne, CH: Springer Science and Business Media Deutschland GmbH.
• Shetty, K., Birkhold, A., Strobel, N., Egger, B., Jaganathan, S., Kowarschik, M., & Maier, A. (2021). Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 290-295). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Sievert, M., Auberville, M., Oetter, N., Stelzle, F., Maier, A., Mantsopoulos, K.,... Goncalves, M. (2021). Confocal laser endomicroscopy of head and neck squamous cell carcinoma: a systematic review Konfokale Laser-Endomikroskopie des Kopf-Hals-Plattenepithelkarzinoms: eine systematische Übersicht. Laryngo-Rhino-Otologie. https://doi.org/10.1055/a-1339-1635
• Sievert, M., Aubreville, M., Oetter, N., Stelzle, F., Maier, A., Mantsopoulos, K.,... Goncalves, M. (2021). Erratum: Konfokale Laser-Endomikroskopie des Kopf-Hals-Plattenepithelkarzinoms: eine systematische Übersicht. Laryngo-Rhino-Otologie, 100(11), e3-. https://doi.org/10.1055/a-2160-0452
• Sievert, M., Eckstein, M., Mantsopoulos, K., Müller, S.K., Stelzle, F., Aubreville, M.,... Goncalves, M. (2021). Impact of intraepithelial capillary loops and atypical vessels in confocal laser endomicroscopy for the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma. European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-021-06954-8
• Sievert, M., Mantsopoulos, K., Müller-Hübner, S.K.U., Rupp, R., Eckstein, M., Stelzle, F.,... Goncalves, M. (2021). Validation of a classification and scoring system for the diagnosis of laryngeal and pharyngeal squamous cell carcinomas by confocal laser endomicroscopy. Brazilian Journal of Otorhinolaryngology . https://doi.org/10.1016/j.bjorl.2021.06.002
• Sievert, M., Oetter, N., Aubreville, M., Stelzle, F., Maier, A., Eckstein, M.,... Goncalves, M. (2021). Feasibility of intraoperative assessment of safe surgical margins during laryngectomy with confocal laser endomicroscopy: A pilot study. Auris Nasus Larynx. https://doi.org/10.1016/j.anl.2021.01.005
• Sievert, M., Stelzle, F., Aubreville, M., Müller, S.K., Eckstein, M., Oetter, N.,... Goncalves, M. (2021). Intraoperative free margins assessment of oropharyngeal squamous cell carcinoma with confocal laser endomicroscopy: a pilot study. European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-021-06659-y
• Sindel, A., Klinke, T., Maier, A., & Christlein, V. (2021). ChainLineNet: Deep-Learning-Based Segmentation and Parameterization of Chain Lines in Historical Prints. Journal of Imaging, 7(7). https://doi.org/10.3390/jimaging7070120
• Sindel, A., Maier, A., & Christlein, V. (2021). CraquelureNet: Matching The Crack Structure In Historical Paintings For Multi-Modal Image Registration. In Proceedings of the 2021 IEEE International Conference on Image Processing (ICIP) (pp. 994-998). Online ( Anchorage, AK, USA ): IEEE Computer Society.
• Stöwer, P., Krauß, P., & Maier, A. (2021). The Hippocampus learns a language model with the help of the Successor Representation. Poster presentation at Montreal AI & Neuroscience 2021, Montreal.
• Sukesh, R., Goshika, S.K., Narayanan, S.S., Bhombore, V.V., Fu, W.L., Kordon, F., & Maier, A. (2021). Velo-CT – A Collaborative 3D Racing Game as Incentive for Medical Image Annotation. Poster presentation at HEALTHINF - 14th International Conference on Health Informatics, Online Streaming.
• Thamm, A., Herz, M., Wiedemann, M., Thamm, F., & Maier, A. (2021). Failure and Risk Analysis based on Maintenance Reports of Machines Components in Manufacturing Industry. In Springer (Eds.), Proceedings of the XIII. International Conference on the Theory of Machines and Mechanisms - TMM2020. Liberec, CZ: Heidelberg: Springer-Verlag GmbH.
• Thamm, F., Denzinger, F., Rist, L., Martín Vicario, C., Kordon, F., & Maier, A. (2021). Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. Society for Magnetic Resonance Angiography SMRA.
• Thamm, F., Jürgens, M., Ditt, H., & Maier, A. (2021, March). Abstract: VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. Poster presentation at BVM Workshop 2021, OTH Regensburg, DE.
• Thamm, F., Taubmann, O., Denzinger, F., Jürgens, M., Ditt, H., & Maier, A. (2021). SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. Strasbourg, FR: Cham: Springer.
• Theelke, L., Wilm, F., Marzahl, C., Bertram, C.A., Klopfleisch, R., Maier, A.,... Breininger, K. (2021). Iterative Cross-Scanner Registration for Whole Slide Images. In 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) (pp. 582-590). LOS ALAMITOS: IEEE COMPUTER SOC.
• Tripathi, P., Obler, R., Maier, A., & Janssen, H. (2021). A Novel Trilateral Filter for Digital Subtraction Angiography. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 310-315). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Utzschneider, M., Müller, M., Gast, L., Lachner, S., Behl, N.G., Maier, A.,... Nagel, A.M. (2021). Towards accelerated quantitative sodium MRI at 7 T in the skeletal muscle: Comparison of anisotropic acquisition- and compressed sensing techniques. Magnetic Resonance Imaging, 75, 72-88. https://doi.org/10.1016/j.mri.2020.09.019
• Venator, M., Aklanoglu, S., Bruns, E., & Maier, A. (2021). Enhancing Collaborative Road Scene Reconstruction with Unsupervised Domain Alignment. Machine Vision and Applications. https://doi.org/10.1007/s00138-020-01144-8
• Venator, M., El Himer, Y., Aklanoglu, S., Bruns, E., & Maier, A. (2021). Self-Supervised Learning of Domain-Invariant Local Features for Robust Visual Localization under Challenging Conditions. IEEE Robotics and Automation Letters. https://doi.org/10.1109/LRA.2021.3059571
• Vesal, S., Gu, M., Kosti, R.V., Maier, A., & Ravikumar, N. (2021). Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3066683
• Wallraff, S., Vesal, S., Syben-Leisner, C., Lutz, R., & Maier, A. (2021). Age Estimation on Panoramic Dental X-ray Images using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 186-191). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Wang, Z., Maier, A., & Christlein, V. (2021). Towards End-to-End Deep Learning-based Writer Identification. In Reussner RH, Koziolek A, Heinrich R (Eds.), INFORMATIK 2020 (pp. 1345-1354). Gesellschaft für Informatik, Bonn.
• Wenninger, M., Bayerl, S.P., Maier, A., & Schmidt, J. (2021). Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring. In 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021) (pp. 108-115). NEW YORK: IEEE.
• Wenninger, M., Maier, A., & Schmidt, J. (2021). DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany. Scientific Data, 8(1). https://doi.org/10.1038/s41597-021-00963-2
• Wilm, F., Bertram, C.A., Marzahl, C., Bartel, A., Donovan, T.A., Assenmacher, C.A.,... Aubreville, M. (2021). Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 241-246). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Xiong, Z., Xia, Q., Hu, Z., Huang, N., Bian, C., Zheng, Y.,... Zhao, J. (2021). A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis, 67. https://doi.org/10.1016/j.media.2020.101832
• Yang, Z., Schilling, A., Maier, A., & Krauß, P. (2021). Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 211-216). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2021). Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.
• Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2021). A Deep-Learning-based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging. Poster presentation at Society for Cardiovascular Magnetic Resonance, Virtual.
• Zhong, X., Amrehn, M., Ravikumar, N., Chen, S., Strobel, N., Birkhold, A.,... Maier, A. (2021). Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-82370-6

2020

• Ahmed, J., Vesal, S., Durlak, F., Kaergel, R., Ravikumar, N., Rémy-Jardin, M., & Maier, A. (2020). COPD classification in CT images using a 3D convolutional neural network. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 39-45). Berlin, DE: Springer.
• Aubreville, M., Bertram, C.A., Donovan, T.A., Marzahl, C., Maier, A., & Klopfleisch, R. (2020). A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research. Scientific Data, 7(1). https://doi.org/10.1038/s41597-020-00756-z
• Aubreville, M., Bertram, C.A., Jabari, S., Marzahl, C., Klopfleisch, R., & Maier, A. (2020). Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs. In Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 1-7). Wiesbaden: Springer Vieweg.
• Aubreville, M., Bertram, C.A., Marzahl, C., Gurtner, C., Dettwiler, M., Schmidt, A.,... Maier, A. (2020). Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-73246-2
• Bayer, S., Spiske, U., Geimer, T., Luo, J., Wells III, W.M., Ostermeier, M.,... Maier, A. (2020). An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. In Springer (Eds.), Algorithmen – Systeme – Anwendungen. Proceedings des Workshops. Berlin: Springer.
• Bayer, S., Zhong, X., Fu, W.L., Ravikumar, N., & Maier, A. (2020). Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. In Springer (Eds.), Algorithmen – Systeme – Anwendungen. Proceedings des Workshops. Berlin, DE: Sringer.
• Bayer, S., Zhong, X., Fu, W.L., Ravikumar, N., & Maier, A. (2020). Imitation learning network for fundus image registration using a divide-and-conquer approach. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 301-306). Berlin, DE: Springer.
• Bazo, R., Reis, E., Adams Seewald, L., Facco Rodrigues, V., Andre da Costa, C., Gonzaga, L.,... Horz, T. (2020). Baptizo: a sensor fusion based model for tracking the identity of human poses. Information Fusion. https://doi.org/10.1016/j.inffus.2020.03.011
• Bergler, C., Schmitt, M., Maier, A., Smeele, S., Barth, V., & Nöth, E. (2020). ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 1136-1140). Shanghai, China: International Speech Communication Association.
• Bertram, C.A., Aubreville, M., Gurtner, C., Bartel, A., Corner, S.M., Dettwiler, M.,... Klopfleisch, R. (2020). Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent. Veterinary Pathology, 57(2), 214-226. https://doi.org/10.1177/0300985819890686
• Bertram, C.A., Aubreville, M., Marzahl, C., Maier, A., & Klopfleisch, R. (2020, February). How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures. Paper presentation at Bildverarbeitung für die Medizin 2020, Berlin, DE.
• Bertram, C.A., Veta, M., Marzahl, C., Stathonikos, N., Maier, A., Klopfleisch, R., & Aubreville, M. (2020). Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. In Jaime Cardoso, Wilson Silva, Ricardo Cruz, Hien Van Nguyen, Badri Roysam, Nicholas Heller, Pedro Henriques Abreu, Jose Pereira Amorim, Ivana Isgum, Vishal Patel, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Samaneh Abbasi, Diana Mateus, Emanuele Trucco (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 204-213). Lima, PE: Springer Science and Business Media Deutschland GmbH.
• Bootwala, A., Breininger, K., Maier, A., & Christlein, V. (2020). Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. In Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 144-149). Wiesbaden: Springer Vieweg.
• Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2020). Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 713-723). Lima, PE: Springer Science and Business Media Deutschland GmbH.
• Calim, H., & Maier, A. (2020). Erlernbarkeitsstudie eines vibrotaktilen Armbands für assistive Navigation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 262-267). Berlin, DE: Springer.
• Chen, S., Abu-Qamar, O., Moult, E., Ploner, S., Lee, B., Maier, A.,... Fujimoto, J. (2020). Ultrahigh-Resolution Optical Coherence Tomography Investigation of Age-Related Changes in the Photoreceptors, Retinal Pigment Epithelium and Bruch's Membrane. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. Online: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Chen, S., Abu-Qmar, O., Moult, E., Lee, B., Ploner, S., Maier, A.,... Fujimoto, J.G. (2020). Investigating Subtle Structural Changes in Eyes with Age-Related Macular Degeneration: A Pilot Study Using Ultrahigh-Resolution Optical Coherence Tomography. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ONLINE: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Chen, S., Stromer, D., Alnasser Alabdalrahim, H., Schwab, S., Weih, M., & Maier, A. (2020). Automatic dementia screening and scoring by applying deep learning on clock-drawing tests. Scientific Reports, 10, 1-11. https://doi.org/10.1038/s41598-020-74710-9
• Chen, S., Zhong, X., Hu, S., Dorn, S., Kachelriess, M., Lell, M., & Maier, A. (2020). Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks. Medical Physics, 47(2), 552-562. https://doi.org/10.1002/mp.13950
• Denck, J., Ferguson, G.W., Guehring, J., Maier, A., & Rothgang, E. (2020). Acquisition Parameter–Conditioned Generative Adversarial Network for Enhanced MR Image Synthesis. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Virtual.
• Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., Andre, F.,... Maier, A. (2020). Automatic CAD-RADS Scoring using Deep Learning. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lima, Peru: Cham: Springer.
• Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,... Maier, A. (2020). Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Paper presentation at BVM Workshop 2020, Berlin, DE.
• Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,... Maier, A. (2020). Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. In Proceedings of the BVM Workshop 2020. Berlin, DE.
• Eckert, D., Vesal, S., Ritschl, L., Kappler, S., & Maier, A. (2020). Deep learning-based denoising of mammographic images using physics-driven data augmentation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 94-100). Berlin, DE: Springer.
• Ellmann, S., Wenkel, E., Dietzel, M., Bielowski, C., Vesal, S., Maier, A.,... Bäuerle, T. (2020). Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses. PLoS ONE, 1-15, 1-15. https://doi.org/10.1371/journal.pone.0228446
• Fan, F., Qiu, J., Wang, J., Valianos, S., Farooq, M.M., Fu, W.L.,... Maier, A. (2020). Odin’s Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases. Paper presentation at Joint Conference of the GMDS & CEN-IBS 2020, Online Streaming.
• Felsner, L., Käppler, S., Maier, A., & Riess, C. (2020). Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. IEEE Transactions on Computational Imaging, 6, 625 - 639. https://doi.org/10.1109/TCI.2020.2964217
• Felsner, L., Würfl, T., Syben-Leisner, C., Roser, P., Preuhs, A., Maier, A., & Riess, C. (2020). Reconstruction of Voxels with Position- and Angle-Dependent Weightings. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography. Online meeting.
• Fu, W.L., Breininger, K., Pan, Z., & Maier, A. (2020). Degenerating u-net on retinal vessel segmentation: What do we really need? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 33-38). Berlin, DE: Springer.
• Fu, W.L., Husvogt, L., Ploner, S., Fujimoto, J.G., & Maier, A. (2020). Modularization of deep networks allows cross-modality reuse: lesson learnt. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 274-279). Berlin, DE: Springer.
• Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2020). Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI. In Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 38-47). Lima, PE: Springer Science and Business Media Deutschland GmbH.
• Gadjimuradov, F., Yoon, S.S., Benkert, T., Nickel, M.D., Engelhard, K., & Maier, A. (2020). Deep Learning-based Partial Fourier Reconstruction for Improved Prostate DWI. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Paris.
• Goetz, T.I., Lang, E.W., Prante, O., Maier, A., Cordes, M., Kuwert, T.,... Schmidkonz, C. (2020). Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent 177Lu-DOTATOC therapy. Annals of Nuclear Medicine. https://doi.org/10.1007/s12149-020-01440-3
• Gottschalk, T., Kreher, B.W., & Maier, A. (2020). Deep Learning Based Metal Inpainting in the Projection Domain using Additional Neighboring Projection Information. In Proceedings of The 6th International Conference on Image Formation in X-Ray Computed Tomography (pp. 276-279). Online Meeting.
• Gourmelon, N., Bayer, S., Mayle, M., Bach, G., Bebber, C., Munck, C.,... Maier, A. (2020). Implications of Experiment Set-Ups for Residential Water End-Use Classification. In Proceedings of the 5th International Electronic Conference on Water Sciences. St Alban-anlage 66, Ch-4052 Basel, Switzerland: MDPI.
• Guo, Z., Lauritsch, G., Maier, A., Kugler, P., Islam, M., Vogt, F., & Noo, F. (2020). C-arm CT imaging with the extended line-ellipse-line trajectory: First implementation on a state-of-the-art robotic angiography system. Physics in Medicine and Biology, 65(18). https://doi.org/10.1088/1361-6560/ab9a82
• Guo, Z., Lauritsch, G., Maier, A., & Noo, F. (2020). C-arm CT imaging using the extended line-ellipse-line trajectory: Seamless FBP reconstruction from real data. In Guang-Hong Chen, Hilde Bosmans (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Houston, TX, US: SPIE.
• Gündel, S., & Maier, A. (2020). Epoch-wise label attacks for robustness against label noise. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020 (pp. 287-292). Springer Vieweg.
• Gündel, S., Setio, A., Grbic, S., Maier, A., & Comaniciu, D. (2020). Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. In Liu M., Yan P., Lian C., Cao X. (Eds.), Machine Learning in Medical Imaging (pp. 504 - 512). Springer.
• Haase, V., Hahn, K., Schoendube, H., Stierstorfer, K., Maier, A., & Noo, F. (2020). Single Material Beam Hardening Correction in CT Using an Analytical Energy Response Model. Paper presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, US.
• Haase, V., Stierstorfer, K., Hahn, K., Schöndube, H., Maier, A., & Noo, F. (2020). An improved combination of ordered subsets and momentum for fast model-based iterative CT reconstruction. In Guang-Hong Chen, Hilde Bosmans (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Houston, TX, US: SPIE.
• Herl, G., Hiller, J., & Maier, A. (2020). Scanning trajectory optimisation using a quantitative Tuybased local quality estimation for robot-based X-ray computed tomography. Nondestructive Testing and Evaluation. https://doi.org/10.1080/10589759.2020.1774579
• Hoppe, E., Thamm, F., Koerzdoerfer, G., Syben-Leisner, C., Nittka, M., Pfeuffer, J.,... Maier, A. (2020, March). RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. Paper presentation at Bilderverarbeitung für die Medizin Algorithmen - Systeme - Anwendungen, Berlin, DE.
• Hoppe, E., Wetzl, J., Yoon, S.S., Schneider, M., Stimpel, B., Preuhs, A., & Maier, A. (2020). DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
• Hoßbach, J., Husvogt, L., Kraus, M., Fujimoto, J.G., & Maier, A. (2020). Deep OCT angiography image generation for motion artifact suppression. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 248-253). Berlin, DE: Springer.
• Hoßbach, J., Splitthoff, D., Cauley, S., & Maier, A. (2020). MoPED: Motion Parameter Estimation DenseNet for accelerating retrospective motion correction. In Proceedings of the ISMRM & SMRT Virtual Conference & Exhibition.
• Huang, Y., Gao, L., Preuhs, A., & Maier, A. (2020). Field of View Extension in Computed Tomography Using Deep Learning Prior. In Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen. Berlin, DE: Springer.
• Huang, Y., Wang, S., Guan, Y., & Maier, A. (2020). Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning. Journal of Synchrotron Radiation. https://doi.org/10.1107/S160057752000017X
• Husvogt, L., Ploner, S., Stromer, D., Schottenhamml, J., Moult, E., Fujimoto, J.G., & Maier, A. (2020). Compressed sensing for optical coherence tomography angiography volume generation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 82-87). Berlin, DE: Springer.
• Jaremenko, C., Affronti, E., Merklein, M., & Maier, A. (2020). Temporal and spatial detection of the onset of local necking and assessment of its growth behavior. Materials, 13(11). https://doi.org/10.3390/ma13112427
• Jiang, Z., Huang, Z., Qiu, B., Liu, X., Meng, X., You, Y.,... Lu, Y. (2020). Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography. Biomedical Optics Express, 11(3), 1216-1632. https://doi.org/10.1364/BOE.387807
• Jordan, S., Seuret, M., Král, P., Lenc, L., Martínek, J., Wiermann, B.,... Christlein, V. (2020). Re-Ranking for Writer Identification and Writer Retrieval. In Document Analysis Systems. (pp. 572-586).
• Khun Jush, F., Biele, M., Dueppenbecker, P.M., Schmidt, O., & Maier, A. (2020). DNN-based Speed-of-Sound Reconstruction for Automated Breast Ultrasound. In 2020 IEEE International Ultrasonics Symposium (IUS) (pp. 1-7). Las Vegas, NV, US: IEEE.
• Kordon, F., Fischer, P., Privalov, M., Swartman, B., Schnetzke, M., Franke, J.,... Kunze, H. (2020, February). Multi-Task Framework for X-Ray Guided Planning in Knee Surgery. Poster presentation at Bildverarbeitung für die Medizin 2020, Berlin, DE.
• Kordon, F., Maier, A., Swartman, B., & Kunze, H. (2020). Font Augmentation: Implant and Surgical Tool Simulation for X-Ray Image Processing. In Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Eds.), Bildverarbeitung für die Medizin 2020 (pp. 176-182). Berlin, DE: Wiesbaden: Springer Vieweg.
• Kordon, F., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2020). Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee. In Martel AL, et al. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 (pp. 671-680). Lima, PE: Cham: Springer.
• Krauß, P., & Maier, A. (2020). Will We Ever Have Conscious Machines? Frontiers in Computational Neuroscience, 14. https://doi.org/10.3389/fncom.2020.556544
• Kuhnert, N., & Maier, A. (2020). With Semantics and Hidden Markov Models to an Adaptive Log File Parser. International Journal on Natural Language Computing. https://doi.org/10.5121/ijnlc.2019.8603
• Kuhnert, N., Pflueger, L., & Maier, A. (2020). Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning. In Proceedings of the Bildverarbeitung für die Medizin 2020. Berlin, DE.
• Kuhnert, N., Pflueger, L., & Maier, A. (2020). Prediction of MRI Hardware Failures based on Image Features using Time Series Classification. In Proceedings of the Bildverarbeitung für die Medizin. Berlin.
• Leipert, M., Vogeler, G., Seuret, M., Maier, A., & Christlein, V. (2020). The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs. In Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti (Eds.), Document Analysis Systems. (pp. 246-261).
• Liu, C., Huang, Y., Maier, J., Klein, L., Kachelriess, M., & Maier, A. (2020). Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization. In Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization.
• Luckner, C., Herbst, M., Fuhrmann, M., Ritschl, L., Kappler, S., & Maier, A. (2020). Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 335-340). Berlin, DE: Springer.
• Luckner, C., Weber, T., Herbst, M., Ritschl, L., Kappler, S., & Maier, A. (2020). A phantom study on dose efficiency for orthopedic applications: Comparing slot-scanning radiography using ultra-small-angle tomosynthesis to conventional radiography. Medical Physics. https://doi.org/10.1002/mp.14680
• Madhu, P., Gupta, J., Kosti, R.V., Bell, P., Maier, A., & Christlein, V. (2020). Towards Image Caption Generation for Art Historical Data.
• Madhu, P., Kosti, R.V., Bendschus, T., Reinhardt, C., Bell, P., Christlein, V., & Maier, A. (2020). Deep Learning based Attribute Representation in Ancient Vase Paintings. In Digital Humanities 2020 - Intersections/Carrefours. Ottawa, Canada, CA.
• Madhu, P., Kosti, R.V., Bendschus, T., Reinhardt, C., & Maier, A. (2020). Computer Vision Understanding of Narrative Strategies on Greek Vases. In Computer Applications and Quantitative Methods in Archaeology. Oxford, UK, GB.
• Madhu, P., Marquart, T., Kosti, R.V., Bell, P., Maier, A., & Christlein, V. (2020). Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors. In Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (Eds.), Computer Vision – ECCV 2020 Workshops. ECCV 2020 (pp. 109-125). Glasgow, GB: Switzerland: Springer, Cham.
• Maier, A., Christlein, V., Breininger, K., Wuerfl, T., Unberath, M., & Rieß, C. (2020). Bildanalyse. In Günther Görz, Ute Schmid, Tanya Braun (Hrg.), Handbuch der Künstichen Intelligenz. (S. 673--712). De Gruyter.
• Maier, A., Maier, A., Wein, W., Shams, R., Kadoury, S., Drobny, D.,... Zhong, X. (2020). Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Transactions on Medical Imaging, 39(3), 777-786. https://doi.org/10.1109/TMI.2019.2935060
• Maier, J., Nitschke, M., Choi, J.-H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2020). Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. (pp. 14-23).
• Maier, J., Rivera Monroy, L.C., Syben-Leisner, C., Jeon, Y., Choi, J.-H., Hall, M.,... Maier, A. (2020). Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 67-72). Wiesbaden: Springer Vieweg.
• Martín Vicario, C., Kordon, F., Denzinger, F., Weiten, M., Thomas, S., Kausch, L.,... Kunze, H. (2020). Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 (pp. 486-495). Lima, PE: Cham: Springer.
• Marzahl, C., Aubreville, M., Bertram, C.A., Gerlach, S., Maier, J., Voigt, J.,... Maier, A. (2020). Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 26-31). Berlin, DE: Springer.
• Marzahl, C., Aubreville, M., Bertram, C.A., Stayt, J., Jasensky, A.K., Bartenschlager, F.,... Maier, A. (2020). Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-65958-2
• Marzahl, C., Bertram, C.A., Aubreville, M., Petrick, A., Weiler, K., Gläsel, A.C.,... Maier, A. (2020). Are fast labeling methods reliable? a case study of computer-aided expert annotations on microscopy slides. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 24-32). Lima, PE: Springer Science and Business Media Deutschland GmbH.
• Mayr, M., Stumpf, M., Nicolaou, A., Seuret, M., Maier, A., & Christlein, V. (2020). Spatio-Temporal Handwriting Imitation. In Springer, Cham (Eds.), Proceedings of the European Conference on Computer Vision (pp. 528-543). Online.
• Meister, F., Passerini, T., Mihalef, V., Tuysuzoglu, A., Maier, A., & Mansi, T. (2020). Deep learning acceleration of Total Lagrangian Explicit Dynamics for soft tissue mechanics. Computer Methods in Applied Mechanics and Engineering, 358. https://doi.org/10.1016/j.cma.2019.112628
• Moult, E.M., Alibhai, A.Y., Lee, B.K., Yu, Y., Ploner, S., Chen, S.,... Fujimoto, J.G. (2020). A Framework for Multiscale Quantitation of Relationships Between Choriocapillaris Flow Impairment and Geographic Atrophy Growth. American Journal of Ophthalmology. https://doi.org/10.1016/j.ajo.2019.12.006
• Mürschberger, N., Reymann, M., Cachovan, M., Ritt, P., Vija, H., & Maier, A. (2020, November). U-Net for Multi-Organ Segmentation of SPECT Projection Data. Poster presentation at IEEE, Boston, Massachuchets, US.
• Nanji, A., Redd, T., Chamberlain, W., Schallhorn, J.M., Chen, S., Ploner, S.,... Li, Y. (2020). Application of Corneal Optical Coherence Tomography Angiography for Assessment of Vessel Depth in Corneal Neovascularization. Cornea, 39(5), 598-604. https://doi.org/10.1097/ICO.0000000000002232
• Nau, M.A., Nau, M., Moult, E.M., Fujimoto, J.G., & Maier, A. (2020). Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 254-259). Berlin, DE: Springer.
• Nejati Hatamian, F., Ravikumar, N., Vesal, S., Kemeth, F.P., Struck, M., & Maier, A. (2020). The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. In Proceedings of the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). Barcelona, Spain, ES: IEEE.
• Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2020). JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering. In Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (Eds.), Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Surgery (MICCAI) (pp. 506 - 515). Lima, Peru, PE: Springer.
• Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2020). Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization. In Proceeding of the 6th International Conference on Image Formation in X-Ray Computed Tomography (pp. 174 - 177). Regensburg, DE.
• Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2020, July). Low dose CT denoising with residual convolutional networks and deep learned perceptual loss. Poster presentation at European Congress of Radiology, Vienna, Austria, AT.
• Ploner, S., Schottenhamml, J., Moult, E.M., Waheed, N.K., Duker, J.S., Fujimoto, J.G., & Maier, A. (2020). 3-D tracing of capillaries through three retinal vascular plexuses toward their closest superficial artery and vein in OCT angiography volumes. Poster presentation at ARVO annual meeting 2020, US.
• Preuhs, A., Manhart, M., Roser, P., Hoppe, E., Huang, Y., Psychogios, M.,... Maier, A. (2020). Appearance Learning for Image-based Motion Estimation in Tomography. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2020.3002695
• Preuhs, A., Manhart, M., Roser, P., Stimpel, B., Syben-Leisner, C., Psychogios, M.,... Maier, A. (2020). Deep autofocus with cone-beam CT consistency constraint. In Proceedings of the Bildverarbeitung für die Medizin. Berlin, DE.
• Qiu, B., Huang, Z., Liu, X., Meng, X., You, Y., Liu, G.,... Lu, Y. (2020). Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function. Biomedical Optics Express, 11(2), 817-830. https://doi.org/10.1364/BOE.379551
• Reymann, M., Massanes, F., Ritt, P., Cachovan, M., Kuwert, T., Vija, A.H., & Maier, A. (2020, November). Feature Loss After Denoising of SPECT Projection Data using a U-Net. Poster presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, Massachusetts, US.
• Rodriguez Salas, D., Mürschberger, N., Ravikumar, N., Seuret, M., & Maier, A. (2020). Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. SN Computer Science, 1(5). https://doi.org/10.1007/s42979-020-00268-y
• Rodriguez Salas, D., Ravikumar, N., Seuret, M., & Maier, A. (2020). ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. In Pattern Recognition. Auckland, New Zealand, NZ: Springer International Publishing.
• Roser, P., Birkhold, A., Preuhs, A., Kowarschik, M., Fahrig, R., & Maier, A. (2020). Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 113-118). Berlin, DE: Springer.
• Roser, P., Birkhold, A., Preuhs, A., Ochs, P., Stepina, E., Strobel, N.,... Maier, A. (2020). XDose: toward online cross-validation of experimental and computational X-ray dose estimation. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-020-02298-6
• Roser, P., Birkhold, A., Preuhs, A., Stimpel, B., Syben, C., Strobel, N.,... Maier, A. (2020). Fully-automatic CT data preparation for interventional X-ray skin dose simulation. In Informatik Aktuell Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen (pp. 1-6). Berlin, DE.
• Roser, P., Birkhold, A., Preuhs, A., Syben-Leisner, C., Strobel, N., Kowarschik, M.,... Maier, A. (2020). Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting). Regensburg (virtuell).
• Roser, P., Zhong, X., Birkhold, A., Preuhs, A., Syben-Leisner, C., Hoppe, E.,... Maier, A. (2020). Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. In Anne L. Marte, lPurang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. (pp. 199-208).
• Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2020). Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences. IEEE Transactions on Medical Imaging, 39(10), 3159-3174. https://doi.org/10.1109/TMI.2020.2988410
• Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2020). Learning-based misalignment detection for 2-D/3-D overlays. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 230-235). Berlin, DE: Springer.
• Schaffert, R., Wang, J., Fischer, P., Maier, A., & Borsdorf, A. (2020). Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model. IEEE Transactions on Medical Imaging, 39(1), 161-174. https://doi.org/10.1109/TMI.2019.2922931
• Schaffert, R., Weiß, M., Wang, J., Borsdorf, A., & Maier, A. (2020). Learning-based correspondence estimation for 2-D/3-D registration. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 222-228). Berlin, DEU: Springer.
• Schilling, A., Tomasello, R., Henningsen-Schomers, M.R., Zankl, A., Surendra, K., Haller, M.,... Krauß, P. (2020). Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2020.1803375
• Schneider, M., Benkert, T., Solomon, E., Nickel, D., Fenchel, M., Kiefer, B.,... Block, K.T. (2020). Free-breathing fat and R2∗ quantification in the liver using a stack-of-stars multi-echo acquisition with respiratory-resolved model-based reconstruction. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.28280
• Schottenhamml, J., Ploner, S., Moult, E., Duker, J.S., Waheed, N.K., Fujimoto, J.G., & Maier, A. (2020). Fully automatic separation of three capillary plexuses in the macular region. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ONLINE: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
• Schröter, H., Rosenkranz, T., Escalante Banuelos, A., Aubreville, M., & Maier, A. (2020). CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, ES.
• Schröter, H., Rosenkranz, T., Escalante Banuelos, A., & Maier, A. (2020). CLC: Complex Linear Coding for the DNS 2020 Challenge.
• Schröter, H., Rosenkranz, T., Escalante Banuelos, A., Zobel, P., & Maier, A. (2020). Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks. In INTERSPEECH 2020. Shanghai, CN.
• Seifer, A.-K., Schinkel-Bielefeld, N., Schröter, H., Escalante Banuelos, A., Hoppe, U., & Maier, A. (2020). Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach. In Virtual Conference on Computational Audiology (VCCA2020). Virtual.
• Seuret, M., Nicolaou, A., Stutzmann, D., Maier, A., & Christlein, V. (2020). ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. In IEEE (Eds.), Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 216-221). Dortmund, DE.
• Sindel, A., Maier, A., & Christlein, V. (2020). Art2Contour: Salient Contour Detection in Artworks Using Generative Adversarial Networks. In Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP 2020) (pp. 788-792). Online (Abu Dhabi, United Arab Emirates): IEEE Computer Society.
• Sindel, A., Maier, A., & Christlein, V. (2020). A Visualization Tool for Image Fusion of Artworks. In Proceedings of the 25th International Conference on Cultural Heritage and New Technologies. Online (Vienna, Austria).
• Stromer, D., Moult, E.M., Chen, S., Waheed, N.K., Maier, A., & Fujimoto, J.G. (2020). Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation. Biomedical Optics Express, 11(5), 2830-2848. https://doi.org/10.1364/BOE.392759
• Syben-Leisner, C., Stimpel, B., Roser, P., Dörfler, A., & Maier, A. (2020). Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging. IEEE Transactions on Medical Imaging, 1-1. https://doi.org/10.1109/TMI.2020.2998179
• Taubmann, O., Li, J., Denzinger, F., Eibenberger, E., Müller, F., Brejnebøl, M., & Maier, A. (2020). Automatic Detection of Free Intra-Abdominal Air in Computed Tomography. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lima, PE: Cham: Springer.
• Thamm, F., Jürgens, M., Ditt, H., & Maier, A. (2020). VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. In K. Nieselt and R. G. Raidou (Eds.), Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 5). Uni Tübingen, DE.
• Thies, M., Zäch, J.N., Gao, C., Taylor, R., Navab, N., Maier, A., & Unberath, M. (2020). A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance. International Journal of Computer Assisted Radiology and Surgery, 15(11), 1787-1796. https://doi.org/10.1007/s11548-020-02249-1
• Tolxdorff, T., Deserno, T., Maier, A., Handels, H., Maier-Hein, K., & Palm, C. (2020). Vorwort. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik Aktuell. (pp. XI-XII). Springer.
• Utzschneider, M., Behl, N.G., Lachner, S., Gast, L., Maier, A., Uder, M., & Nagel, A.M. (2020). Correction to: Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing (Magnetic Resonance Materials in Physics, Biology and Medicine, (2020), 10.1007/s10334-019-00819-2). Magnetic Resonance Materials in Physics Biology and Medicine. https://doi.org/10.1007/s10334-020-00835-7
• Utzschneider, M., Behl, N.G.R., Lachner, S., Gast, L., Maier, A., Uder, M., & Nagel, A.M. (2020). T-2* Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing. Magnetic Resonance Materials in Physics Biology and Medicine. https://doi.org/10.1007/s10334-019-00819-2
• Venator, M., Shen, F., Aklanoglu, S., Bruns, E., Diepold, K., & Maier, A. (2020). Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation. In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 1757-1766). Snowmass Village, Colorado, US: IEEE.
• Vesal, S., Gu, M., Maier, A., & Ravikumar, N. (2020). Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2020.3046449
• Vesal, S., Maier, A., & Ravikumar, N. (2020). Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. Journal of Imaging, 6. https://doi.org/10.3390/jimaging6070065
• Weichselbaumer, N., Seuret, M., Limbach, S., Hinrichsen, L., Maier, A., & Christlein, V. (2020, February). The rapid rise of Fraktur. Paper presentation at 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, Paderborn, DE.
• Würfl, T., Maass, N., Dennerlein, F., & Maier, A. (2020). Projective Reconstruction of Acquisition Geometry without Point Correspondences. In Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography (pp. 264 - 267). Online meeting, DE.
• Xu, Y., Hoppe, E., Speier, P., Kluge, T., Nittka, M., Koerzdoerfer, G., & Maier, A. (2020). Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
• Xu, Y., Hoppe, E., Speier, P., Kluge, T., Nittka, M., Koerzdoerfer, G., & Maier, A. (2020). Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting. In Proceedings of the ISMRM Workshop on Data Sampling & Image Reconstruction. Sedona, US.
• Yoon, S.S., Hoppe, E., Schmidt, M., Forman, C., Chitiboi, T., Sharma, P.,... Wetzl, J. (2020). A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney, AU.
• Yoon, S.S., Schmidt, M., Wintersperger, B.J., Chitiboi, T., Sharma, P., Tillmanns, C.,... Wetzl, J. (2020). Automated Deep-Learning-based Inversion Time Selection for Cardiac Late Gadolinium Enhancement Imaging. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney, AU.
• Zaech, J.N., Gao, C., Bier, B., Taylor, R., Maier, A., Navab, N., & Unberath, M. (2020). Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 185-). Berlin: Springer.